Dr Petar Radanliev
Department of Computer Sciences
University of Oxford
Abstract:
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and Quantum Computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
Keywords: Artificial Intelligence, Quantum Algorithms, Neural Networks, Quantum-AI Integration, Quantum Threats, AI-enhanced Security, Quantum Information Processing.
Artificial Intelligence and Quantum CryptographyPetar Radanliev
Abstract:
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and Quantum Computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
Keywords: Artificial Intelligence, Quantum Algorithms, Neural Networks, Quantum-AI Integration, Quantum Threats, AI-enhanced Security, Quantum Information Processing.
Red Teaming AI and Quantum
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
-- Introduction: Quantum Technology, AI, and the Evolving Cybersecurity Landscape
In the contemporary technological epoch, the rapid evolution of Quantum Computing and Artificial Intelligence (AI) is reshaping our digital realm, expanding the cyber risk horizon. As we stand on the cusp of a quantum revolution, the cyber-attack surface transforms, heralding a future rife with potential cyber threats.
-- Theoretical Underpinning
This research endeavours to construct a robust cybersecurity framework, ensuring AI's harmonious and secure integration with the Quantum Internet. Central to our exploration is evaluating AI/Natural Language Processing (NLP) models and their interaction with quintessential quantum security protocols, notably the BB84 method and select NIST-endorsed algorithms. Leveraging the computational prowess of Python and C++, we aim to critically assess the resilience of these quantum security paradigms by simulating AI-driven cyber-attacks.
-- Research Objectives
Envision a quantum-enhanced internet, operating at unparalleled speeds yet fortified against AI-mediated cyber threats. This vision encapsulates our primary objective: to ensure that the digital advancements of the future, powered by AI, remain benevolent and secure. Over a five-year trajectory, our mission is to harness AI's potential in a manner that is beneficial and safeguarded against malevolent exploits.
Red Teaming Generative AI and Quantum CryptographyPetar Radanliev
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
1. Introduction: Quantum Technology, AI, and the Evolving Cybersecurity Landscape
In the contemporary technological epoch, the rapid evolution of Quantum Computing and Artificial Intelligence (AI) is reshaping our digital realm, expanding the cyber risk horizon. As we stand on the cusp of a quantum revolution, the cyber-attack surface undergoes a transformation, heralding a future rife with potential cyber threats.
2. Theoretical Underpinning
This research endeavours to construct a robust cybersecurity framework, ensuring AI's harmonious and secure integration with the Quantum Internet. Central to our exploration is evaluating AI/Natural Language Processing (NLP) models and their interaction with quintessential quantum security protocols, notably the BB84 method and select NIST-endorsed algorithms. Leveraging the computational prowess of Python and C++, we aim to critically assess the resilience of these quantum security paradigms by simulating AI-driven cyber-attacks.
3. Research Objectives
Envision a quantum-enhanced internet, operating at unparalleled speeds, yet fortified against AI-mediated cyber threats. This vision encapsulates our primary objective: to ensure that the digital advancements of the future, powered by AI, remain benevolent and secure. Over a five-year trajectory, our mission is to harness AI's potential in a manner that is beneficial and safeguarded against malevolent exploits.
With the introduction of quantum computing on the horizon, computer security organizations are stepping up research and development to defend against a new kind of computer power. Quantum computers pose a very real threat to the global information technology infrastructure of today. Many security implementations in use based on the difficulty for modern-day computers to perform large integer factorization. Utilizing a specialized algorithm such as mathematician Peter Shor’s, a quantum computer can compute large integer factoring in polynomial time versus classical computing’s sub-exponential time. This theoretical exponential increase in computing speed has prompted computer security experts around the world to begin preparing by devising new and improved cryptography methods. If the proper measures are not in place by the time full-scale quantum computers produced, the world’s governments and major enterprises could suffer from security breaches and the loss of massive amounts of encrypted data
Three Party Authenticated Key Distribution using Quantum CryptographyIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
ANALYSIS OF THE SECURITY OF BB84 BY MODEL CHECKINGIJNSA Journal
Quantum Cryptography or Quantum key distribution (QKD) is a technique that allows the secure distribution of a bit string, used as key in cryptographic protocols. When it was noted that quantum computers could break public key cryptosystems based on number theory extensive studies have been undertaken on QKD. Based on quantum mechanics, QKD offers unconditionally secure communication. Now, the progress of research in this field allows the anticipation of QKD to be available outside of laboratories within the next few years. Efforts are made to improve the performance and reliability of the implemented technologies. But several challenges remain despite this big progress. The task of how to test the apparatuses of QKD For example did not yet receive enough attention. These devises become complex and demand a big verification effort. In this paper we are interested in an approach based on the technique of probabilistic model checking for studying quantum information. Precisely, we use the PRISM tool to analyze the security of BB84 protocol and we are focused on the specific security property
of eavesdropping detection. We show that this property is affected by the parameters of quantum channel and the power of eavesdropper.
Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the...Petar Radanliev
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
A SURVEY ON QUANTUM KEY DISTRIBUTION PROTOCOLSijcsa
This document summarizes and compares several quantum key distribution protocols:
- BB84 protocol was the first protocol proposed in 1984 by Bennett and Brassard, using photon polarization in two bases to randomly encode bits.
- BBM92 protocol is a modified version using only two states instead of four.
- SARG04 protocol was proposed in 2004 and is more secure than BB84 in the presence of photon number splitting attacks.
- E91 protocol proposed in 1992 uses quantum entanglement of photon pairs, making it more secure than protocols based on Heisenberg's uncertainty principle.
- COW protocol from 2004 is experimentally simple and resistant to various attacks when using weak coherent pulses.
- DPS protocol encodes bits
Artificial Intelligence and Quantum CryptographyPetar Radanliev
Abstract:
The technological advancements made in recent times, particularly in Artificial Intelligence (AI) and Quantum Computing, have brought about significant changes in technology. These advancements have profoundly impacted quantum cryptography, a field where AI methodologies hold tremendous potential to enhance the efficiency and robustness of cryptographic systems. However, the emergence of quantum computers has created a new challenge for existing security algorithms, commonly called the 'quantum threat'. Despite these challenges, there are promising avenues for integrating neural network-based AI in cryptography, which has significant implications for future digital security paradigms. This summary highlights the key themes in the intersection of AI and quantum cryptography, including the potential benefits of AI-driven cryptography, the challenges that need to be addressed, and the prospects of this interdisciplinary research area.
Keywords: Artificial Intelligence, Quantum Algorithms, Neural Networks, Quantum-AI Integration, Quantum Threats, AI-enhanced Security, Quantum Information Processing.
Red Teaming AI and Quantum
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
-- Introduction: Quantum Technology, AI, and the Evolving Cybersecurity Landscape
In the contemporary technological epoch, the rapid evolution of Quantum Computing and Artificial Intelligence (AI) is reshaping our digital realm, expanding the cyber risk horizon. As we stand on the cusp of a quantum revolution, the cyber-attack surface transforms, heralding a future rife with potential cyber threats.
-- Theoretical Underpinning
This research endeavours to construct a robust cybersecurity framework, ensuring AI's harmonious and secure integration with the Quantum Internet. Central to our exploration is evaluating AI/Natural Language Processing (NLP) models and their interaction with quintessential quantum security protocols, notably the BB84 method and select NIST-endorsed algorithms. Leveraging the computational prowess of Python and C++, we aim to critically assess the resilience of these quantum security paradigms by simulating AI-driven cyber-attacks.
-- Research Objectives
Envision a quantum-enhanced internet, operating at unparalleled speeds yet fortified against AI-mediated cyber threats. This vision encapsulates our primary objective: to ensure that the digital advancements of the future, powered by AI, remain benevolent and secure. Over a five-year trajectory, our mission is to harness AI's potential in a manner that is beneficial and safeguarded against malevolent exploits.
Red Teaming Generative AI and Quantum CryptographyPetar Radanliev
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
1. Introduction: Quantum Technology, AI, and the Evolving Cybersecurity Landscape
In the contemporary technological epoch, the rapid evolution of Quantum Computing and Artificial Intelligence (AI) is reshaping our digital realm, expanding the cyber risk horizon. As we stand on the cusp of a quantum revolution, the cyber-attack surface undergoes a transformation, heralding a future rife with potential cyber threats.
2. Theoretical Underpinning
This research endeavours to construct a robust cybersecurity framework, ensuring AI's harmonious and secure integration with the Quantum Internet. Central to our exploration is evaluating AI/Natural Language Processing (NLP) models and their interaction with quintessential quantum security protocols, notably the BB84 method and select NIST-endorsed algorithms. Leveraging the computational prowess of Python and C++, we aim to critically assess the resilience of these quantum security paradigms by simulating AI-driven cyber-attacks.
3. Research Objectives
Envision a quantum-enhanced internet, operating at unparalleled speeds, yet fortified against AI-mediated cyber threats. This vision encapsulates our primary objective: to ensure that the digital advancements of the future, powered by AI, remain benevolent and secure. Over a five-year trajectory, our mission is to harness AI's potential in a manner that is beneficial and safeguarded against malevolent exploits.
With the introduction of quantum computing on the horizon, computer security organizations are stepping up research and development to defend against a new kind of computer power. Quantum computers pose a very real threat to the global information technology infrastructure of today. Many security implementations in use based on the difficulty for modern-day computers to perform large integer factorization. Utilizing a specialized algorithm such as mathematician Peter Shor’s, a quantum computer can compute large integer factoring in polynomial time versus classical computing’s sub-exponential time. This theoretical exponential increase in computing speed has prompted computer security experts around the world to begin preparing by devising new and improved cryptography methods. If the proper measures are not in place by the time full-scale quantum computers produced, the world’s governments and major enterprises could suffer from security breaches and the loss of massive amounts of encrypted data
Three Party Authenticated Key Distribution using Quantum CryptographyIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
ANALYSIS OF THE SECURITY OF BB84 BY MODEL CHECKINGIJNSA Journal
Quantum Cryptography or Quantum key distribution (QKD) is a technique that allows the secure distribution of a bit string, used as key in cryptographic protocols. When it was noted that quantum computers could break public key cryptosystems based on number theory extensive studies have been undertaken on QKD. Based on quantum mechanics, QKD offers unconditionally secure communication. Now, the progress of research in this field allows the anticipation of QKD to be available outside of laboratories within the next few years. Efforts are made to improve the performance and reliability of the implemented technologies. But several challenges remain despite this big progress. The task of how to test the apparatuses of QKD For example did not yet receive enough attention. These devises become complex and demand a big verification effort. In this paper we are interested in an approach based on the technique of probabilistic model checking for studying quantum information. Precisely, we use the PRISM tool to analyze the security of BB84 protocol and we are focused on the specific security property
of eavesdropping detection. We show that this property is affected by the parameters of quantum channel and the power of eavesdropper.
Red Teaming Generative AI/NLP, the BB84 quantum cryptography protocol and the...Petar Radanliev
In the contemporary digital age, Quantum Computing and Artificial Intelligence (AI) convergence is reshaping the cyber landscape, introducing both unprecedented opportunities and potential vulnerabilities.
This research, conducted over five years, delves into the cybersecurity implications of this convergence, with a particular focus on AI/Natural Language Processing (NLP) models and quantum cryptographic protocols, notably the BB84 method and specific NIST-approved algorithms. Utilising Python and C++ as primary computational tools, the study employs a "red teaming" approach, simulating potential cyber-attacks to assess the robustness of quantum security measures. Preliminary research over 12 months laid the groundwork, which this study seeks to expand upon, aiming to translate theoretical insights into actionable, real-world cybersecurity solutions. Located at the University of Oxford's technology precinct, the research benefits from state-of-the-art infrastructure and a rich collaborative environment. The study's overarching goal is to ensure that as the digital world transitions to quantum-enhanced operations, it remains resilient against AI-driven cyber threats. The research aims to foster a safer, quantum-ready digital future through iterative testing, feedback integration, and continuous improvement. The findings are intended for broad dissemination, ensuring that the knowledge benefits academia and the global community, emphasising the responsible and secure harnessing of quantum technology.
A SURVEY ON QUANTUM KEY DISTRIBUTION PROTOCOLSijcsa
This document summarizes and compares several quantum key distribution protocols:
- BB84 protocol was the first protocol proposed in 1984 by Bennett and Brassard, using photon polarization in two bases to randomly encode bits.
- BBM92 protocol is a modified version using only two states instead of four.
- SARG04 protocol was proposed in 2004 and is more secure than BB84 in the presence of photon number splitting attacks.
- E91 protocol proposed in 1992 uses quantum entanglement of photon pairs, making it more secure than protocols based on Heisenberg's uncertainty principle.
- COW protocol from 2004 is experimentally simple and resistant to various attacks when using weak coherent pulses.
- DPS protocol encodes bits
Call for Chapters- Edited Book: Quantum Networks and Their Applications in AI...Christo Ananth
The research on Quantum Networked Artificial Intelligence is at the intersection of Quantum Information Science (QIS), Artificial Intelligence, Soft Computing, Computational Intelligence, Machine Learning, Deep Learning, Optimization, Etc. It Touches On Many Important Parts Of Near-Term Quantum Computing And Noisy Intermediate-Scale Quantum (NISQ) Devices. The research on quantum artificial intelligence is grounded in theories, modelling, and significant studies on hybrid classical-quantum algorithms using classical simulations, IBM Q services, PennyLane, Google Cirq, D-Wave quantum annealer etc. So far, the research on quantum artificial intelligence has given us the building blocks to achieve quantum advantage to solve problems in combinatorial optimization, soft computing, deep learning, and machine learning much faster than traditional classical computing. Solving these problems is important for making quantum computing useful for noise-resistant large-scale applications. This makes it much easier to see the big picture and helps with cutting-edge research across the quantum stack, making it an important part of any QIS effort. Researchers — almost daily — are making advances in the engineering and scientific challenges to create practical quantum networks powered with artificial intelligence
This document describes a new lightweight cryptography algorithm called NVLC proposed for use in Internet of Things devices. The algorithm is a symmetric block cipher with a 64-bit block size and an 80-bit or 128-bit key. It uses a substitution-permutation network structure over 6 rounds. The algorithm aims to offer high security while minimizing area, power consumption, and implementation costs suitable for low-resource IoT devices. Analysis shows the algorithm provides effective diffusion and is resistant to differential and linear cryptanalysis attacks. It has lower area and power consumption than other block ciphers like AES and PRESENT.
Claude Shannon made significant contributions to the field of cryptography through his work on information theory and communication systems. He published a paper in 1949 that laid the foundations for modern cryptography. In the paper, he applied mathematical theory to break German and Japanese codes during World War II and demonstrated that effective encryption requires a key at least as long as the message being encrypted. He also introduced the concept of perfect secrecy and proved it can only be achieved using a one-time pad. Shannon's work established cryptography as a serious academic discipline and helped shift its focus from mechanical encryption devices to mathematical ciphers and keys. His ideas remain fundamental to modern cryptography and information security.
Call for Papers- Special Session: Applications of Computational Intelligence, Internet of Things and Cutting Edge Technologies
Christo Ananth, Dr.Akhatov Akmal Rustamovich, Dr.Muhtor Nasirov
Professor, Samarkand State University, Uzbekistan
Applications of Computational Intelligence, Internet of Things and Cutting Ed...Christo Ananth
This document announces a special session on "Applications of Computational Intelligence, Internet of Things and Cutting Edge Technologies" at the International Conference on Technological Advancements in Computational Sciences from October 10-12, 2022 in Tashkent City, Uzbekistan. It provides details on submission deadlines, registration deadlines, conference organizers and sub-themes which include topics like AI-IoT frameworks, fault diagnosis using neural networks, Bluetooth protocols for IoT, genetic algorithms for factory automation, and distributed neural networks applications. Authors must email their paper submissions to the session chair.
Quantum computing has the potential to revolutionize many fields including cryptography. Quantum computing can solve mathematical problems that current cryptography relies on, like factoring large numbers, much faster than classical computers. This would make current encryption methods vulnerable to attacks. Researchers are developing new quantum-resistant cryptography methods and quantum key distribution to secure communication as quantum computing advances.
Preprint-ICCSAI2022,Galgotias University,23-24 December 2022.pdfChristo Ananth
Call for Papers- Special Session: Applications of Artificial Intelligence in IoT Security, 1st International Conference On Communication, Security And Artificial Intelligence (ICCSAI-2022),Greater Noida, NCR, New Delhi, India, December 23 to 24, 2022
Christo Ananth, Akhatov Akmal Rustamovich
Professor, Samarkand State University, Uzbekistan
Call for Papers- Special Session: Contemporary Innovations in Data Sciences, IoT and Computational Techniques
Dr. Shruti Aggarwal, Christo Ananth, Dr. Manik Rakhra
Thapar University, India
Professor, Samarkand State University, Uzbekistan
Lovely Professional University, India3
The document describes a thesis submitted by Amogh Mahapatra and Rajballav Dash for their Bachelor of Technology degree. It examines using the Hill cipher technique and self-repetitive matrices for data encryption and decryption. Specifically, it proposes an innovation to the conventional Hill cipher method using the concept of self-repetitive matrices. This approach is mathematically derived and implemented to simulate a communication channel with compression techniques. The method aims to address issues with inverting the Hill cipher's multiplicative matrix by using periodically repeating matrices.
The document describes a thesis submitted by Amogh Mahapatra and Rajballav Dash for their Bachelor of Technology degree. It examines using the Hill cipher technique and self-repetitive matrices for data encryption and decryption. Specifically, it proposes an innovation to the conventional Hill cipher method using the concept of self-repetitive matrices. This approach is mathematically derived and implemented using code to simulate a communication channel with compression techniques. The method aims to address issues with the Hill cipher by making it more difficult to crack through choosing an appropriate block size and modular index for the self-repetitive matrix.
Preprint-CSAE,China,21-23 October 2022.pdfChristo Ananth
Call for Papers- Special Session: Applications of Artificial Intelligence and IoT in Computer Science and Engineering, 6th International Conference on Computer Science and Application Engineering, CSAE 2022,Nanjing, China, October 21 to 23, 2022
Christo Ananth
Professor, Samarkand State University, Uzbekistan
This document presents a new mathematical model for encrypting data using fingerprint data. It works as follows:
1. A fingerprint image is used to generate an encryption key by determining the number of black pixels. This key will be unique for each user.
2. The key is used to generate a very large number to represent each letter or character. Different digits of this number represent different letters.
3. The plaintext is converted to this numerical representation to generate the ciphertext. Additional functions may be applied to further encrypt the ciphertext.
4. To decrypt, the receiver applies the inverse functions and uses the key to determine the letter associated with each number to recover the plaintext. The model is intended to provide highly
ANALYSE AND IMPLEMENT OF CRYPTOGRAPHY WITH HIGH SECURITY USING QUATERNIONAM Publications,India
The document discusses cryptography using quaternion numbers. It analyzes implementing a highly secure cryptography scheme using properties of quaternion Farey fractions. Quaternions were discovered in 1843 as a way to represent rotations in 3D space. Operations on quaternions like addition, multiplication, and division are described. The properties of quaternions like representations, conjugation, absolute value, and real/complex subspaces are also covered. The objective is to develop a novel cryptography model using number theory and properties of quaternions to provide high security against attacks.
This document presents a proposed algorithm for public key cryptography using matrices. The algorithm has three stages: 1) shuffling the original data using a linear congruential method and arranging it in a matrix, 2) traversing the data matrix in different patterns, and 3) generating a system of non-homogeneous linear equations from the matrix to derive private keys. The algorithm aims to provide data confidentiality, integrity and authentication for cloud computing applications using public key cryptography with matrices in a way that has constant complexity regardless of key size.
Securing sensitive and important information from intruders is a tedious task in the 21st century. In order to protect information different ciphering techniques has been used. Quantum Cryptography has taken a new path in the field of crypto systems where all the presently used crypto systems are classified as classical cryptography systems. Classical cryptography systems use mathematical formulas where quantum cryptography uses the principles of photon polarization and heisenberg uncertainty principle. As the south
asian region is developing rapidly in almost all the sectorsthe need of securing information has become a difficult task. Therefore, the need of starting extensive research on quantum cryptography for the south asian region to safeguard information from intruders has been the purpose of this study. Comparative study of the growth of the telecommunication sector in the south asian region and how quantum
cryptography could assist in securing information has been discussedas results.In the end, details of the need to research on quantum cryptography in the south asian region to overcome future predicted cyber threats are also discussed.
This document provides a summary of a systematic review of authentication techniques for smart grids. The review analyzed 27 papers on smart grid authentication approaches and their effectiveness in mitigating certain attacks. The review found that password-based authentication is not optimal for smart grids as it does not provide mutual authentication. Certificate-less authentication was identified as an appropriate approach. Time-valid one-time signature schemes were also analyzed and found to be a theoretically optimal solution, but more research is needed. The review aims to identify optimized authentication solutions for smart grid components and analyze their effectiveness against different attack types to inform the design of improved authentication approaches.
Quantum computing and its Impact to ICT industryShuvo Chowdhury
1. Quantum computing holds promise for solving complex problems in machine learning, AI and cryptography by running massive calculations in parallel much faster than classical computers.
2. Quantum computing uses quantum bits that can exist in superpositions of states and entangle with each other, allowing for exponential increases in processing power over classical bits.
3. The global quantum computing market is expected to grow significantly over the next few years as governments and companies increase investments in the technology.
Blockchain technology can revolutionise the provision of decentralised Applications Dapps, as well as help IoT systems to boot to reduce the cost of this development, the stakeholders to determine how to distribute benefits and take into account five basic principles:
• Potential effects of technology on IoT systems
• Organisational changes
• Secure the correct data
• Financing electronic IoT systems
• Security and privacy of user data
Revealing AES Encryption Device Key on 328P Microcontrollers with Differentia...IJECEIAES
This research demonstrates the revealing of an advanced encryption standard (AES) encryption device key. The encryption device is applied to an ATMEGA328P microcontroller. The said microcontroller is a device commonly used in the internet of things (IoT). We measured power consumption when the encryption process is taking place. The message sent to the encryption device is randomly generated, but the key used has a fixed value. The novelty of this research is the creation of a systematic and optimal circuit in carrying the differential power analysis or difference of means (DPA/DoM) technique, so the technique can be applied in key revealing on a microcontroller device by using 500 traces in 120 seconds.
Cyber Diplomacy: Defining the Opportunities for Cybersecurity and Risks from Artificial Intelligence, IoT, Blockchains, and Quantum Computing
Abstract: Cyber diplomacy is critical in dealing with the digital era's evolving cybersecurity dangers and possibilities. This article investigates the impact of Artificial Intelligence (AI), the Internet of Things (IoT), Blockchains, and Quantum Computing on cyber diplomacy. AI holds the potential for proactive threat identification and response, while IoT enables international information sharing. Blockchains enable secure data sharing and document verification, but they also pose new threats, such as AI-driven cyber-attacks, IoT privacy breaches, blockchain vulnerabilities, and the potential for quantum computing to break encryption. This article conducts case study reviews in combination with secondary data analysis and emphasises the value of international cooperation in developing global norms and frameworks to control responsible technology adoption. Cyber diplomacy can promote cybersecurity, protect national interests, and foster mutual trust among nations in the digital sphere by capitalising on possibilities and reducing threats.
PhD Thesis:
Blockchain Cybersecurity
Dr Petar Radanliev
University of Oxford
PhD Thesis:
"Blockchain Cybersecurity: A Comprehensive Study"
Dr Petar Radanliev
University of Oxford
Abstract:
This thesis presents an exhaustive exploration of the interplay between blockchain technology and cybersecurity. It delves into how blockchain can revolutionise cybersecurity practices, addressing existing challenges and opening up new avenues for secure digital interactions. The study provides a thorough analysis of blockchain's inherent security features, such as decentralisation, immutability, and transparency, and how these attributes contribute to enhancing cybersecurity across various domains. Additionally, the thesis examines potential vulnerabilities within blockchain systems and proposes strategies for mitigating these risks. By combining theoretical insights with practical case studies, this work aims to offer a holistic view of blockchain's role in shaping the future landscape of cybersecurity.
Chapter 1: Introduction
Overview of Blockchain Technology
Cybersecurity Challenges in the Digital Age
Objectives and Scope of the Study
Chapter 2: Fundamentals of Blockchain Technology
History and Evolution of Blockchain
Key Components and Functioning of Blockchain Systems
Types of Blockchain: Public, Private, and Consortium
Chapter 3: Blockchain in Cybersecurity
Decentralisation as a Security Feature
Immutability and Data Integrity
Transparency and Trust in Blockchain Systems
Chapter 4: Blockchain Applications in Cybersecurity
Use Cases in Various Industries
Blockchain in Identity Management and Authentication
Secure Transactions and Smart Contracts
Chapter 5: Vulnerabilities and Risks in Blockchain
Analysis of Known Blockchain Vulnerabilities
Potential Attack Vectors and Their Implications
Risk Mitigation Strategies and Best Practices
Chapter 6: Future Trends and Challenges
Emerging Trends in Blockchain and Cybersecurity
Scalability, Interoperability, and Regulatory Challenges
Future Research Directions
Chapter 7: Conclusion
Summary of Key Findings
Contributions to the Field of Blockchain Cybersecurity
Recommendations for Future Research and Practice
Appendices
Technical Details of Blockchain Protocols
Case Studies and Practical Examples
Bibliography
Comprehensive List of Academic References and Key Sources
This thesis contributes to the existing body of knowledge by providing a detailed analysis of blockchain's potential and limitations in the realm of cybersecurity, offering valuable insights for academics, industry practitioners, and policy makers.
I started my career testing security in the military and defence industries. Then, I moved into managing cyber risks in the finance world. After ten years in these fields, I returned to academics, earning my PhD, Master's, and Bachelor's degrees.
My postdoctoral work took me to several universities: Imperial College London, the University of Cambridge, MIT, and back to the University of Oxford
Mais conteúdo relacionado
Semelhante a Artificial Intelligence and Quantum Cryptography
Call for Chapters- Edited Book: Quantum Networks and Their Applications in AI...Christo Ananth
The research on Quantum Networked Artificial Intelligence is at the intersection of Quantum Information Science (QIS), Artificial Intelligence, Soft Computing, Computational Intelligence, Machine Learning, Deep Learning, Optimization, Etc. It Touches On Many Important Parts Of Near-Term Quantum Computing And Noisy Intermediate-Scale Quantum (NISQ) Devices. The research on quantum artificial intelligence is grounded in theories, modelling, and significant studies on hybrid classical-quantum algorithms using classical simulations, IBM Q services, PennyLane, Google Cirq, D-Wave quantum annealer etc. So far, the research on quantum artificial intelligence has given us the building blocks to achieve quantum advantage to solve problems in combinatorial optimization, soft computing, deep learning, and machine learning much faster than traditional classical computing. Solving these problems is important for making quantum computing useful for noise-resistant large-scale applications. This makes it much easier to see the big picture and helps with cutting-edge research across the quantum stack, making it an important part of any QIS effort. Researchers — almost daily — are making advances in the engineering and scientific challenges to create practical quantum networks powered with artificial intelligence
This document describes a new lightweight cryptography algorithm called NVLC proposed for use in Internet of Things devices. The algorithm is a symmetric block cipher with a 64-bit block size and an 80-bit or 128-bit key. It uses a substitution-permutation network structure over 6 rounds. The algorithm aims to offer high security while minimizing area, power consumption, and implementation costs suitable for low-resource IoT devices. Analysis shows the algorithm provides effective diffusion and is resistant to differential and linear cryptanalysis attacks. It has lower area and power consumption than other block ciphers like AES and PRESENT.
Claude Shannon made significant contributions to the field of cryptography through his work on information theory and communication systems. He published a paper in 1949 that laid the foundations for modern cryptography. In the paper, he applied mathematical theory to break German and Japanese codes during World War II and demonstrated that effective encryption requires a key at least as long as the message being encrypted. He also introduced the concept of perfect secrecy and proved it can only be achieved using a one-time pad. Shannon's work established cryptography as a serious academic discipline and helped shift its focus from mechanical encryption devices to mathematical ciphers and keys. His ideas remain fundamental to modern cryptography and information security.
Call for Papers- Special Session: Applications of Computational Intelligence, Internet of Things and Cutting Edge Technologies
Christo Ananth, Dr.Akhatov Akmal Rustamovich, Dr.Muhtor Nasirov
Professor, Samarkand State University, Uzbekistan
Applications of Computational Intelligence, Internet of Things and Cutting Ed...Christo Ananth
This document announces a special session on "Applications of Computational Intelligence, Internet of Things and Cutting Edge Technologies" at the International Conference on Technological Advancements in Computational Sciences from October 10-12, 2022 in Tashkent City, Uzbekistan. It provides details on submission deadlines, registration deadlines, conference organizers and sub-themes which include topics like AI-IoT frameworks, fault diagnosis using neural networks, Bluetooth protocols for IoT, genetic algorithms for factory automation, and distributed neural networks applications. Authors must email their paper submissions to the session chair.
Quantum computing has the potential to revolutionize many fields including cryptography. Quantum computing can solve mathematical problems that current cryptography relies on, like factoring large numbers, much faster than classical computers. This would make current encryption methods vulnerable to attacks. Researchers are developing new quantum-resistant cryptography methods and quantum key distribution to secure communication as quantum computing advances.
Preprint-ICCSAI2022,Galgotias University,23-24 December 2022.pdfChristo Ananth
Call for Papers- Special Session: Applications of Artificial Intelligence in IoT Security, 1st International Conference On Communication, Security And Artificial Intelligence (ICCSAI-2022),Greater Noida, NCR, New Delhi, India, December 23 to 24, 2022
Christo Ananth, Akhatov Akmal Rustamovich
Professor, Samarkand State University, Uzbekistan
Call for Papers- Special Session: Contemporary Innovations in Data Sciences, IoT and Computational Techniques
Dr. Shruti Aggarwal, Christo Ananth, Dr. Manik Rakhra
Thapar University, India
Professor, Samarkand State University, Uzbekistan
Lovely Professional University, India3
The document describes a thesis submitted by Amogh Mahapatra and Rajballav Dash for their Bachelor of Technology degree. It examines using the Hill cipher technique and self-repetitive matrices for data encryption and decryption. Specifically, it proposes an innovation to the conventional Hill cipher method using the concept of self-repetitive matrices. This approach is mathematically derived and implemented to simulate a communication channel with compression techniques. The method aims to address issues with inverting the Hill cipher's multiplicative matrix by using periodically repeating matrices.
The document describes a thesis submitted by Amogh Mahapatra and Rajballav Dash for their Bachelor of Technology degree. It examines using the Hill cipher technique and self-repetitive matrices for data encryption and decryption. Specifically, it proposes an innovation to the conventional Hill cipher method using the concept of self-repetitive matrices. This approach is mathematically derived and implemented using code to simulate a communication channel with compression techniques. The method aims to address issues with the Hill cipher by making it more difficult to crack through choosing an appropriate block size and modular index for the self-repetitive matrix.
Preprint-CSAE,China,21-23 October 2022.pdfChristo Ananth
Call for Papers- Special Session: Applications of Artificial Intelligence and IoT in Computer Science and Engineering, 6th International Conference on Computer Science and Application Engineering, CSAE 2022,Nanjing, China, October 21 to 23, 2022
Christo Ananth
Professor, Samarkand State University, Uzbekistan
This document presents a new mathematical model for encrypting data using fingerprint data. It works as follows:
1. A fingerprint image is used to generate an encryption key by determining the number of black pixels. This key will be unique for each user.
2. The key is used to generate a very large number to represent each letter or character. Different digits of this number represent different letters.
3. The plaintext is converted to this numerical representation to generate the ciphertext. Additional functions may be applied to further encrypt the ciphertext.
4. To decrypt, the receiver applies the inverse functions and uses the key to determine the letter associated with each number to recover the plaintext. The model is intended to provide highly
ANALYSE AND IMPLEMENT OF CRYPTOGRAPHY WITH HIGH SECURITY USING QUATERNIONAM Publications,India
The document discusses cryptography using quaternion numbers. It analyzes implementing a highly secure cryptography scheme using properties of quaternion Farey fractions. Quaternions were discovered in 1843 as a way to represent rotations in 3D space. Operations on quaternions like addition, multiplication, and division are described. The properties of quaternions like representations, conjugation, absolute value, and real/complex subspaces are also covered. The objective is to develop a novel cryptography model using number theory and properties of quaternions to provide high security against attacks.
This document presents a proposed algorithm for public key cryptography using matrices. The algorithm has three stages: 1) shuffling the original data using a linear congruential method and arranging it in a matrix, 2) traversing the data matrix in different patterns, and 3) generating a system of non-homogeneous linear equations from the matrix to derive private keys. The algorithm aims to provide data confidentiality, integrity and authentication for cloud computing applications using public key cryptography with matrices in a way that has constant complexity regardless of key size.
Securing sensitive and important information from intruders is a tedious task in the 21st century. In order to protect information different ciphering techniques has been used. Quantum Cryptography has taken a new path in the field of crypto systems where all the presently used crypto systems are classified as classical cryptography systems. Classical cryptography systems use mathematical formulas where quantum cryptography uses the principles of photon polarization and heisenberg uncertainty principle. As the south
asian region is developing rapidly in almost all the sectorsthe need of securing information has become a difficult task. Therefore, the need of starting extensive research on quantum cryptography for the south asian region to safeguard information from intruders has been the purpose of this study. Comparative study of the growth of the telecommunication sector in the south asian region and how quantum
cryptography could assist in securing information has been discussedas results.In the end, details of the need to research on quantum cryptography in the south asian region to overcome future predicted cyber threats are also discussed.
This document provides a summary of a systematic review of authentication techniques for smart grids. The review analyzed 27 papers on smart grid authentication approaches and their effectiveness in mitigating certain attacks. The review found that password-based authentication is not optimal for smart grids as it does not provide mutual authentication. Certificate-less authentication was identified as an appropriate approach. Time-valid one-time signature schemes were also analyzed and found to be a theoretically optimal solution, but more research is needed. The review aims to identify optimized authentication solutions for smart grid components and analyze their effectiveness against different attack types to inform the design of improved authentication approaches.
Quantum computing and its Impact to ICT industryShuvo Chowdhury
1. Quantum computing holds promise for solving complex problems in machine learning, AI and cryptography by running massive calculations in parallel much faster than classical computers.
2. Quantum computing uses quantum bits that can exist in superpositions of states and entangle with each other, allowing for exponential increases in processing power over classical bits.
3. The global quantum computing market is expected to grow significantly over the next few years as governments and companies increase investments in the technology.
Blockchain technology can revolutionise the provision of decentralised Applications Dapps, as well as help IoT systems to boot to reduce the cost of this development, the stakeholders to determine how to distribute benefits and take into account five basic principles:
• Potential effects of technology on IoT systems
• Organisational changes
• Secure the correct data
• Financing electronic IoT systems
• Security and privacy of user data
Revealing AES Encryption Device Key on 328P Microcontrollers with Differentia...IJECEIAES
This research demonstrates the revealing of an advanced encryption standard (AES) encryption device key. The encryption device is applied to an ATMEGA328P microcontroller. The said microcontroller is a device commonly used in the internet of things (IoT). We measured power consumption when the encryption process is taking place. The message sent to the encryption device is randomly generated, but the key used has a fixed value. The novelty of this research is the creation of a systematic and optimal circuit in carrying the differential power analysis or difference of means (DPA/DoM) technique, so the technique can be applied in key revealing on a microcontroller device by using 500 traces in 120 seconds.
Semelhante a Artificial Intelligence and Quantum Cryptography (20)
Cyber Diplomacy: Defining the Opportunities for Cybersecurity and Risks from Artificial Intelligence, IoT, Blockchains, and Quantum Computing
Abstract: Cyber diplomacy is critical in dealing with the digital era's evolving cybersecurity dangers and possibilities. This article investigates the impact of Artificial Intelligence (AI), the Internet of Things (IoT), Blockchains, and Quantum Computing on cyber diplomacy. AI holds the potential for proactive threat identification and response, while IoT enables international information sharing. Blockchains enable secure data sharing and document verification, but they also pose new threats, such as AI-driven cyber-attacks, IoT privacy breaches, blockchain vulnerabilities, and the potential for quantum computing to break encryption. This article conducts case study reviews in combination with secondary data analysis and emphasises the value of international cooperation in developing global norms and frameworks to control responsible technology adoption. Cyber diplomacy can promote cybersecurity, protect national interests, and foster mutual trust among nations in the digital sphere by capitalising on possibilities and reducing threats.
PhD Thesis:
Blockchain Cybersecurity
Dr Petar Radanliev
University of Oxford
PhD Thesis:
"Blockchain Cybersecurity: A Comprehensive Study"
Dr Petar Radanliev
University of Oxford
Abstract:
This thesis presents an exhaustive exploration of the interplay between blockchain technology and cybersecurity. It delves into how blockchain can revolutionise cybersecurity practices, addressing existing challenges and opening up new avenues for secure digital interactions. The study provides a thorough analysis of blockchain's inherent security features, such as decentralisation, immutability, and transparency, and how these attributes contribute to enhancing cybersecurity across various domains. Additionally, the thesis examines potential vulnerabilities within blockchain systems and proposes strategies for mitigating these risks. By combining theoretical insights with practical case studies, this work aims to offer a holistic view of blockchain's role in shaping the future landscape of cybersecurity.
Chapter 1: Introduction
Overview of Blockchain Technology
Cybersecurity Challenges in the Digital Age
Objectives and Scope of the Study
Chapter 2: Fundamentals of Blockchain Technology
History and Evolution of Blockchain
Key Components and Functioning of Blockchain Systems
Types of Blockchain: Public, Private, and Consortium
Chapter 3: Blockchain in Cybersecurity
Decentralisation as a Security Feature
Immutability and Data Integrity
Transparency and Trust in Blockchain Systems
Chapter 4: Blockchain Applications in Cybersecurity
Use Cases in Various Industries
Blockchain in Identity Management and Authentication
Secure Transactions and Smart Contracts
Chapter 5: Vulnerabilities and Risks in Blockchain
Analysis of Known Blockchain Vulnerabilities
Potential Attack Vectors and Their Implications
Risk Mitigation Strategies and Best Practices
Chapter 6: Future Trends and Challenges
Emerging Trends in Blockchain and Cybersecurity
Scalability, Interoperability, and Regulatory Challenges
Future Research Directions
Chapter 7: Conclusion
Summary of Key Findings
Contributions to the Field of Blockchain Cybersecurity
Recommendations for Future Research and Practice
Appendices
Technical Details of Blockchain Protocols
Case Studies and Practical Examples
Bibliography
Comprehensive List of Academic References and Key Sources
This thesis contributes to the existing body of knowledge by providing a detailed analysis of blockchain's potential and limitations in the realm of cybersecurity, offering valuable insights for academics, industry practitioners, and policy makers.
I started my career testing security in the military and defence industries. Then, I moved into managing cyber risks in the finance world. After ten years in these fields, I returned to academics, earning my PhD, Master's, and Bachelor's degrees.
My postdoctoral work took me to several universities: Imperial College London, the University of Cambridge, MIT, and back to the University of Oxford
PhD Thesis:
Blockchain Cybersecurity
Dr Petar Radanliev
University of Oxford
PhD Thesis:
"Blockchain Cybersecurity: A Comprehensive Study"
Dr Petar Radanliev
University of Oxford
Abstract:
This thesis presents an exhaustive exploration of the interplay between blockchain technology and cybersecurity. It delves into how blockchain can revolutionise cybersecurity practices, addressing existing challenges and opening up new avenues for secure digital interactions. The study provides a thorough analysis of blockchain's inherent security features, such as decentralisation, immutability, and transparency, and how these attributes contribute to enhancing cybersecurity across various domains. Additionally, the thesis examines potential vulnerabilities within blockchain systems and proposes strategies for mitigating these risks. By combining theoretical insights with practical case studies, this work aims to offer a holistic view of blockchain's role in shaping the future landscape of cybersecurity.
Chapter 1: Introduction
Overview of Blockchain Technology
Cybersecurity Challenges in the Digital Age
Objectives and Scope of the Study
Chapter 2: Fundamentals of Blockchain Technology
History and Evolution of Blockchain
Key Components and Functioning of Blockchain Systems
Types of Blockchain: Public, Private, and Consortium
Chapter 3: Blockchain in Cybersecurity
Decentralisation as a Security Feature
Immutability and Data Integrity
Transparency and Trust in Blockchain Systems
Chapter 4: Blockchain Applications in Cybersecurity
Use Cases in Various Industries
Blockchain in Identity Management and Authentication
Secure Transactions and Smart Contracts
Chapter 5: Vulnerabilities and Risks in Blockchain
Analysis of Known Blockchain Vulnerabilities
Potential Attack Vectors and Their Implications
Risk Mitigation Strategies and Best Practices
Chapter 6: Future Trends and Challenges
Emerging Trends in Blockchain and Cybersecurity
Scalability, Interoperability, and Regulatory Challenges
Future Research Directions
Chapter 7: Conclusion
Summary of Key Findings
Contributions to the Field of Blockchain Cybersecurity
Recommendations for Future Research and Practice
Appendices
Technical Details of Blockchain Protocols
Case Studies and Practical Examples
Bibliography
Comprehensive List of Academic References and Key Sources
This thesis contributes to the existing body of knowledge by providing a detailed analysis of blockchain's potential and limitations in the realm of cybersecurity, offering valuable insights for academics, industry practitioners, and policy makers.
I started my career testing security in the military and defence industries. Then, I moved into managing cyber risks in the finance world. After ten years in these fields, I returned to academics, earning my PhD, Master's, and Bachelor's degrees.
My postdoctoral work took me to several universities: Imperial College London, the University of Cambridge, MIT, and back to the University of Oxford
The Rise and Fall of Cryptocurrencies: Defining the Economic and Social Values of Blockchain Technologies, assessing the Opportunities, and defining the Financial and Cybersecurity Risks of the Metaverse.
Ethics and Responsible AI Deployment
Abstract: As Artificial Intelligence (AI) becomes more prevalent, protecting personal privacy is a critical ethical issue that must be addressed. This article explores the need for ethical AI systems that safeguard individual privacy while complying with ethical standards. By taking a multidisciplinary approach, the research examines innovative algorithmic techniques such as differential privacy, homomorphic encryption, federated learning, international regulatory frameworks, and ethical guidelines. The study concludes that these algorithms effectively enhance privacy protection while balancing the utility of AI with the need to protect personal data. The article emphasises the importance of a comprehensive approach that combines technological innovation with ethical and regulatory strategies to harness the power of AI in a way that respects and protects individual privacy.
Artificial intelligence (AI) has the potential to significantly impact employment, social equity, and economic systems in ways that require careful ethical analysis and aggressive legislative measures to mitigate negative consequences. This means that the implications of AI in different industries, such as healthcare, finance, and transportation, must be carefully considered.
Due to the global nature of AI technology, global collaboration must be fostered to establish standards and regulatory frameworks that transcend national boundaries. This includes the establishment of ethical guidelines that AI researchers and developers worldwide should follow.
To address emergent ethical concerns with AI, future research must focus on several recommendations. Firstly, ethical considerations must be integrated into the design phase of AI systems and not treated as an afterthought. This is known as "Ethics by Design" and involves incorporating ethical standards during the development phase of AI systems to ensure that the technology aligns with ethical principles.
Secondly, interdisciplinary research that combines AI, ethics, law, social science, and other relevant domains should be promoted to produce well-rounded solutions to ethical dilemmas. This requires the participation of experts from different fields to identify and address ethical issues.
Thirdly, regulatory frameworks must be dynamic and adaptive to keep pace with the rapid evolution of AI technologies. This means that regulatory frameworks must be flexible enough to accommodate changes in AI technology while ensuring ethical standards are maintained.
Fourthly, empirical research should be conducted to understand the real-world implications of AI systems on individuals and society, which can then inform ethical principles and policies. This means that empirical data must be collected to understand how AI affects people in different contexts.
Finally, risk assessment procedures should be improved to better analyse the ethical hazards associated with AI applications.
Artificial Intelligence: Survey of Cybersecurity Capabilities, Ethical Concer...Petar Radanliev
The document discusses various topics related to artificial intelligence (AI) regulations, including:
1. It provides an overview of different types of AI attacks such as automated phishing, adversarial attacks, and using AI for cyberattacks.
2. It describes specific adversarial attack methods like Fast Gradient Sign Method, Jacobian-based Saliency Map Attack, Deepfool Attack, and Carlini & Wagner Attack that can generate adversarial examples to deceive AI systems.
3. It discusses challenges around balancing AI privacy/ethics regulations with security risks, and compares the approaches taken by different countries like the UK and New Zealand.
Artificial Intelligence and Quantum Cryptography: A comprehensive analysis of...Petar Radanliev
This document provides a comprehensive analysis of the intersection between artificial intelligence and quantum cryptography. It discusses how AI and quantum cryptography have revolutionized their respective fields, with AI making advances in areas like healthcare and finance through data processing and pattern recognition, and quantum cryptography providing unprecedented security based on physical laws. The document examines topics like cryptographic algorithms, cybersecurity, quantum key distribution protocols, and how AI and quantum techniques can enhance security for AI systems. It also covers regulatory standards, technological challenges, opportunities for more secure encryption, and applications in industries like healthcare.
Cyber Diplomacy: Defining the Opportunities for Cybersecurity and Risks from Artificial Intelligence, IoT, Blockchains, and Quantum Computing
-- One of the main benefits of cyber intelligence sharing is the access to shared threat intelligence
Sharing threat intelligence on time allows for a faster and more effective reaction to cyber incidents, limiting the potential impact and minimising damage
Cyber threat intelligence sharing encourages a collaborative approach to cybersecurity, boosting collective defence efforts among organisations and nations
Sharing threat intelligence allows organisations to learn from each other's experiences, resulting in skill growth and enhanced knowledge in cybersecurity
Sharing cyber threat intelligence supports public-private cooperation, combining the skills and resources of both sectors to effectively tackle cyber threats
-- Cyber threat intelligence frequently originates in a variety of formats and patterns, making it challenging to consolidate and analyse data across several organisations efficiently.
-- CISCP is a United States government effort that promotes information sharing between federal agencies and private-sector organisations in order to improve cybersecurity
One ongoing academic effort is the Global Cyber Security Capacity Centre at the University of Oxford
GCSCC is a cybersecurity capacity-building centre, advocating an increase in the global scale, pace, quality, and impact of cybersecurity capacity-building activities.
-- Overcoming geopolitical tensions in cyber discussions is a difficult and delicate endeavour, but it is critical for developing international collaboration and effectively combating cyber threats
-- Diplomatic efforts should be directed towards identifying common ground and areas of mutual interest in cybersecurity
-- Creating avenues for regular communication and discussion can help nations create trust and understanding
-- Cyber diplomacy needs to be focused on encouraging joint research initiatives, cyber threat information exchange, and collaborative efforts to strengthen cybersecurity capabilities to build bridges and foster collaboration
Nations can collaborate to develop rules that improve cybersecurity while discouraging malevolent behaviour.
-- Several future developments are anticipated to affect the landscape of cyber diplomacy as the field of cybersecurity evolves
These developments will have a substantial impact on international cooperation, policy, and responses to growing cyber threats
One of the anticipated future trends is the emergence of international cyber norms
The creation of internationally recognised cyber norms will gain traction
Nations will work more closely together to develop common principles and standards guiding responsible state behaviour in cyberspace
Nations will need to address concerns such as AI ethics, the possible threats of autonomous cyber systems, and the development of rules for the appropriate use of AI in cyber operations.
Dance Movement Therapy in the Metaverse: A Fusion of Virtual Rhythms and Real Healing
In the vast expanse of the digital universe, where pixels and avatars reign supreme, there lies an unexpected sanctuary of healing: dance. The metaverse, a realm of virtual reality (VR), augmented reality (AR), and mixed reality (MR), is not just a playground for gamers and tech enthusiasts. It's emerging as a therapeutic space where the age-old art of dance is being reimagined. As our physical and digital worlds intertwine, dance in the metaverse is not only a testament to the evolution of art but also a beacon of hope for those grappling with mental health challenges. This immersive dance movement therapy, blending the boundaries of the real and virtual, offers not just an exhilarating physical exercise but also a transformative journey for the mind. Dive with us into this rhythmic odyssey, where every move is a step towards wellness.
Dance Movement Therapy in the Metaverse: A New Frontier for Mental HealthPetar Radanliev
This document discusses using dance movement therapy in virtual reality as a potential new treatment for mental health issues. It describes previous research collecting data on participants' movements and physiological responses during dance therapy sessions using wearable sensors. Machine learning models were used to analyze the data and identify patterns associated with different emotions. The findings suggest virtual reality environments could effectively deliver non-pharmacological interventions. This represents an opportunity to transform mental health practices with more engaging, personalized, and feedback-based therapeutic experiences.
Software Bill of Materials and the Vulnerability Exploitability eXchange Petar Radanliev
The UK and the U.S. are in a special relationship that requires compliance with cybersecurity regulations and cyber solid diplomacy. The Executive Order 14028 which imposes a compulsory requirement for Software Bill of Materials (SBOM), has exposed the need for deeper collaboration between the UK and the U.S. cybersecurity agencies.
We need a comprehensive cyber policy that prioritises cybersecurity as a top national priority for the UK. The UK and the U.S. have individually developed their forward-looking cybersecurity strategy to protect their critical infrastructure, businesses, and citizens from evolving cyber risks. The UK has fallen behind in following the U.S. requirements for Software Bill of Materials (SBOM) and cyber vulnerabilities. This exposes a gap in the UK and the U.S. cyber diplomacy and requires a new strategy that builds on existing collaborative efforts and shared expertise in countering cyber threats.
To bring the UK back on track with compliance with standards, legislations, and regulations in the U.S. and to strengthen the UK and the U.S. collective defence capabilities, the new strategy must prioritise improving information sharing, intelligence collaboration and collaborative cybersecurity exercises. This is particularly relevant and important in light of the difficulties SBOMs present in assuring software supply chain security.
This necessitates active participation in multilateral forums that advance cyber policy and advance global norms for cyberspace while also encouraging responsible state behaviour and addressing vulnerabilities in a coordinated fashion. The UK and the U.S. need to set the standard for promoting cyber resilience by creating a secure digital future not only for the UK and the U.S. but through coordinated efforts. The new strategy must also provide opportunities for engagement with the larger international community. The first step in doing this is to address the complexities of managing SBOMs and cyber vulnerabilities with the guiding principles of transparency, cooperation, and international stability in cyberspace.
When the level of cooperation and collaboration has been re-established, the problem of managing the vast volume of new vulnerabilities will be imposed on UK cybersecurity professionals. This study is designed to identify the solutions that would reduce the burden on U.S. cybersecurity professionals today, and the workloads on UK cybersecurity professionals in the future.
The solutions investigated in this study are based on using Generative Pre-Trained Transformers, Natural Language Processing, Artificial Intelligence, and other Machine Learning algorithms in Software Vulnerability Management. The objective of the study is to identify how such tools can be used for automations in the Software Bill of Materials (SBOM) and the Vulnerability-Exploitability eXchange (VEX).
The Rise and Fall of Cryptocurrencies: Defining the Economic and Social Value...Petar Radanliev
This paper contextualises the common queries of "why is crypto crashing?" and "why is crypto down?", the research transcends beyond the frequent market fluctuations to unravel how cryptocurrencies fundamentally work and the step-by-step process on how to create a cryptocurrency.
The Rise and Fall of Cryptocurrencies: Defining the Economic and Social Value...Petar Radanliev
The study examines blockchain technologies and their pivotal role in the evolving Metaverse, shedding light on topics such as how to invest in cryptocurrency, the mechanics behind crypto mining, and strategies to effectively buy and trade cryptocurrencies. Through an interdisciplinary approach, the research transitions from the fundamental principles of fintech investment strategies to the overarching implications of blockchain within the Metaverse. Alongside exploring machine learning potentials in financial sectors and risk assessment methodologies, the study critically assesses whether developed or developing nations are poised to reap greater benefits from these technologies. Moreover, it probes into both enduring and dubious crypto projects, drawing a distinct line between genuine blockchain applications and Ponzi-like schemes. The conclusion resolutely affirms the continuing dominance of blockchain technologies, underlined by a profound exploration of their intrinsic value and a reflective commentary by the author on the potential risks confCybersecurity Risks ronting individual investors.
Reference top the full article:
Radanliev, P., De Roure, D., Novitzky, P., Sluganovic, I., (2023): Disability and Rehabilitation: Assistive Technology, DOI: 10.1080/17483107.2023.2241882
Generative Pre-Trained Transformers, Natural Language Processing and Artificial Intelligence and Machine Learning (AI/ML) in cyber software vulnerability management: automations in the Software Bill of Materials (SBOM) and the Vulnerability-Exploitability eXchange (VEX)
Accessibility and Inclusiveness of New Information and Communication Technolo...Petar Radanliev
This article is focused on accessibility and inclusiveness of the new Metaverse(s). We conducted a detailed review of the existing standards and we cannot find anything that would ensure these technologies are inclusive of people with physical disabilities. This is the first step in providing some of the answers, and in this article, we discuss many new technologies that can assist disabled people to use the Metaverse(s). Although these technologies are not always designed with the intention of empowering disabled people, they can be used for that purpose, and the Metaverse concept is also empowering for disabled people, because they can work, socialise, and even get physical activity in the Metaverse.
Artificial Intelligence and the Internet of Things in Industry 4.0Petar Radanliev
This paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspec- tive. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic clas- sifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.
Artificial intelligence and machine learning in dynamic cyber risk analytics ...Petar Radanliev
We explore the potential and practical challenges in the use of artificial intelligence (AI) in cyber risk analytics, for improv- ing organisational resilience and understanding cyber risk. The research is focused on identifying the role of AI in con- nected devices such as Internet of Things (IoT) devices. Through literature review, we identify wide ranging and creative methodologies for cyber analytics and explore the risks of deliberately influencing or disrupting behaviours to socio- technical systems. This resulted in the modelling of the connections and interdependencies between a system’s edge components to both external and internal services and systems. We focus on proposals for models, infrastructures and frameworks of IoT systems found in both business reports and technical papers. We analyse this juxtaposition of related systems and technologies, in academic and industry papers published in the past 10 years. Then, we report the results of a qualitative empirical study that correlates the academic literature with key technological advances in connected devices. The work is based on grouping future and present techniques and presenting the results through a new con- ceptual framework. With the application of social science’s grounded theory, the framework details a new process for a prototype of AI-enabled dynamic cyber risk analytics at the edge.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
How Barcodes Can Be Leveraged Within Odoo 17Celine George
In this presentation, we will explore how barcodes can be leveraged within Odoo 17 to streamline our manufacturing processes. We will cover the configuration steps, how to utilize barcodes in different manufacturing scenarios, and the overall benefits of implementing this technology.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
5. Introduction
THE CONVERGENCE OF
ARTIFICIAL
INTELLIGENCE AND
QUANTUM
CRYPTOGRAPHY HAS
BEEN A RECENT TOPIC OF
GREAT INTEREST AMONG
SCIENTIFIC AND
TECHNOLOGICAL
EXPERTS
BOTH FIELDS HAVE
REVOLUTIONISED THEIR
RESPECTIVE INDUSTRIES:
AI HAS MADE
REMARKABLE STRIDES IN
HEALTHCARE AND
FINANCE BY LEVERAGING
ITS EXCEPTIONAL ABILITY
TO PROCESS DATA,
RECOGNISE PATTERNS,
AND MAKE INFORMED
DECISIONS
IN PARALLEL, QUANTUM
CRYPTOGRAPHY
PROVIDES
UNPARALLELED SECURITY
BASED ON PHYSICAL
LAWS, PRIMARILY
THROUGH QUANTUM KEY
DISTRIBUTION AND
RELATED PROTOCOLS
7. Objectives of the Study
• This study aims to explore the historical
background of AI and quantum cryptography
and examine the current research and application
scenario at their intersection
• We will also analyse the challenges of integrating
AI with quantum cryptography and highlight
possible opportunities and future prospects in
this interdisciplinary field
8. Research Questions
• How have the fields of artificial intelligence and quantum
cryptography evolved historically?
• How can AI improve Quantum Cryptographic protocols
and vice versa?
• What are the main challenges in combining AI and
quantum cryptography?
• What opportunities emerge from the interaction of AI
and quantum cryptography, and how might they influence
future research and applications?
10. Introduction to
Cryptography
THE STUDY OF
CRYPTOGRAPHY, ALSO
KNOWN AS CRYPTOLOGY,
ORIGINATES FROM THE
GREEK WORDS KRYPTÓS
AND GRAPHEIN,
MEANING HIDDEN OR
SECRET AND TO WRITE,
RESPECTIVELY, AND
LOGIA, MEANING TO
STUDY
THE BASIS OF MODERN
CRYPTOGRAPHY IS
CRYPTOGRAPHIC
ALGORITHMS DESIGNED
AROUND THE CONCEPT
OF 'COMPUTATIONAL
HARDNESS ASSUMPTION'
IT FINDS PRACTICAL
APPLICATIONS IN
VARIOUS SECTORS SUCH
AS CHIP-BASED PAYMENT
CARDS, DIGITAL
CURRENCIES, COMPUTER
PASSWORDS, AND
MILITARY
COMMUNICATIONS
11. Cryptography vs
Cybersecurity
IN RECENT YEARS, MOST
OF THE CRYPTOGRAPHIC
DEVELOPMENT HAS BEEN
FOR CYBERSECURITY
IN THIS SHORT SECTION,
WE WANTED TO
EMPHASISE THE SPECIFIC
STRENGTHS AND
VULNERABILITIES IN
RECENT CRYPTOGRAPHY
APPLICATIONS IN
CYBERSECURITY
THE SECOND FACTOR IS
IMPLEMENTATION
QUALITY, BECAUSE
CORRECT
IMPLEMENTATION IS
CRITICAL TO THE
ALGORITHM'S SECURITY
12. Quantum cryptography vs low
memory cryptography
• The National Institute of Standards and Technology has
announced Ascon as the algorithm that will serve as the official
standard for lightweight cryptography of low-memory internet-
of-things devices
• Since the NIST competition was announced in 2018, selecting the
best, most secure, and most efficient algorithm has been ongoing,
and the standard may not be ready until late
• According to NIST, the most peculiar aspect of the selection
process was the effectiveness of these new algorithms ‘most of
the finalists exhibited performance advantages over NIST
standards on various target platforms without introducing
security concerns’
13. Quantum cryptography vs low
memory cryptography
• This statement is especially concerning given that NIST is one of the most
frequently updated and globally recognised as one of the most advanced
cybersecurity frameworks
• Lightweight cryptography ensures that data is securely transmitted from and
to the "innumerable" tiny IoT devices, necessitating a new category of
cryptographic algorithms
• The vast majority of IoT micromachines, sensors, actuators, and other low-
memory devices used for network guidance and communication operate on
extremely low electrical power
• Quantum cryptography presents a unique approach compared to
lightweight cryptography like Ascon, which caters to low-memory devices
such as IoT devices
14. Artificial Intelligence
• Although the concept of machines and statues that mimic
human thought and behaviour can be found in ancient
myths and legends, the scientific field of AI emerged in
the mid-twentieth century
• In 1950, British mathematician Alan Turing established
the Turing Test as a benchmark for a machine's ability to
exhibit intelligent actions that are identical to those of a
human
• Over the years, AI research has experienced peaks and
troughs, commonly referred to as "AI winters" and "AI
springs."
15. Quantum Cryptography
• The foundation of quantum cryptography can be traced
back to the early twentieth century
• Quantum mechanics raised challenges and opportunities
for information processing due to the counterintuitive
properties of quantum systems, such as superposition
and entanglement
• This protocol utilised quantum mechanics principles to
allow two parties to create a shared, secret random key
that was secure due to physical laws
17. Research Design
• This study employs a qualitative research design grounded
in an interpretive paradigm to comprehensively explore
the intricate interplay between artificial intelligence and
quantum cryptography
• This research aims to enhance our understanding of these
two technological advancements' impact on cybersecurity
• This study is informed by global efforts to develop,
refine, and establish a range of quantum-safe
cryptography algorithms
18. Data Collection
WE EMPLOYED TWO
PRIMARY
METHODOLOGIES TO
GATHER DATA
THEN WE CONDUCTED A
CASE STUDY WITH THE
AUTHORS AND THE
ORGANISATIONS BEHIND
THESE STANDARDS
OUR FOCUS WAS ON
PAPERS THAT CRITICALLY
EVALUATED THE ROLE OF
ENCRYPTION IN THE
CONTEXT OF AI AND
QUANTUM MECHANICS,
PARTICULARLY FROM THE
LITERATURE ON
QUANTUM TECHNOLOGY
APPLICATIONS AND THEIR
SOCIETAL IMPACT, WHICH
WERE INTEGRATED
DURING THE ANALYSIS
19. Data Analysis
• Thematic analysis was the primary method used to
analyse the interactions between national and
international standards
• It was a detailed and iterative analysis process,
requiring ongoing data review to ensure an accurate
representation
• Moreover, valuable insights from academic
literature were incorporated into the analysis,
specifically focusing on the societal impact of
quantum technology applications
20. Validation Procedures
• To uphold the validity of our research, we employed the
triangulation technique for evaluating software security
through quantum computing techniques: a durability
perspective
• This involved verifying the insights we derived from case
study interactions with the conclusions drawn from
scholarly literature
• Their contributions were pivotal in anchoring the
research's findings and aligning with the broader academic
dialogue
21. Interplay of AI and Quantum
Cryptography: An Analytical
Perspective
• The convergence of Artificial Intelligence and Quantum
Cryptography is a fascinating development that offers exciting
computation and information security possibilities
• This intersection represents a novel approach to secure
communication and intelligent data processing that has the
potential to revolutionise the way we perceive and utilise
technological advancements
• This comprehensive analysis aims to provide a more nuanced
understanding of this cutting-edge field and its potential
implications for the future of technology and security
22. AI in Quantum Cryptography:
Enhancing Quantum
Cryptographic Protocols
• Within modern cryptography, one can find S-boxes, which are complex
mathematical structures that serve as essential components within many
symmetric key algorithms
• These S-boxes have been created using vectorial Boolean functions in
conjunction with AI, specifically by utilising neural network-based
techniques
• Quantum cryptography is an extremely secure communication method
based on the principles of quantum mechanics
• It relies on the QKD method, which allows two parties to exchange a
secret, shared random key for encrypting and decrypting their messages
23. Quantum
Cryptography in
AI: Securing AI
Systems
In today's technologically advanced
world, industries that rely on artificial
intelligence must prioritise the security
of their algorithms and the data they
handle
These techniques use the principles of
quantum mechanics to protect data
from potential attackers, making it
computationally impossible for anyone
to breach the system
One such technique employed in
quantum computing is quantum
entanglement, which can optimise AI
algorithms, particularly in the training of
neural networks
24. Regulatory
Landscape and
Standards
THE INTEGRATION
OF AI TECHNOLOGY
WITH QUANTUM
CRYPTOGRAPHY HAS
PRESENTED NOVEL
CHALLENGES IN
TERMS OF
REGULATORY AND
STANDARDS
COMPLIANCE
TO ADDRESS THIS,
VARIOUS
INTERNATIONAL
ORGANIZATIONS
HAVE COME
TOGETHER TO
ESTABLISH
COMPREHENSIVE
GUIDELINES AND
PROTOCOLS FOR
ENSURING THE
RELIABILITY AND
SECURITY OF
QUANTUM
CRYPTOGRAPHIC
SYSTEMS
THESE EFFORTS AIM
TO ESTABLISH A
DEPENDABLE AND
TRUSTWORTHY
FRAMEWORK THAT
CAN SUPPORT THE
CONTINUED
DEVELOPMENT AND
DEPLOYMENT OF
ADVANCED
QUANTUM
CRYPTOGRAPHIC
SOLUTIONS
IN THE FIELD OF
DATA PRIVACY AND
SECURITY, NOTABLE
ADVANCEMENTS
HAVE BEEN MADE
WITH THE HELP OF
PROMINENT
ORGANIZATIONS
SUCH AS ISO/IEC,
NIST, AND EU/UK
GDPR
25. Regulatory Landscape and
Standards
• The esteemed International Organization for
Standardization and the International Electrotechnical
Commission have taken on the important task of
launching projects aimed at standardizing quantum
cryptographic protocols
• The goal of these projects is to ensure that quantum
cryptography is widely accepted as a trusted and reliable
method for secure communication in various industries,
including finance, healthcare, and government
26. Challenges and Opportunities:
Integrating AI and Quantum
Cryptography
• The intersection of AI and Quantum
Cryptography opens exciting possibilities
• However, the intersection of these two
ground-breaking fields is challenging
• This chapter delves into the major
challenges and the numerous opportunities
resulting from their integration
27. Challenges:
Technological
Limitations
WHILE QUANTUM
SYSTEMS HAVE THE
POTENTIAL TO PROVIDE
UNPARALLELED
COMPUTATIONAL POWER,
NUMEROUS
TECHNOLOGICAL
LIMITATIONS MAKE THEIR
PRACTICAL
IMPLEMENTATION
DIFFICULT
ONE OF THE PRIMARY
CHALLENGES IN THIS
FIELD IS THE DESIGN OF
DISTRIBUTED QUANTUM
SYSTEMS, WHICH
REQUIRES SIGNIFICANT
ADVANCEMENTS IN
QUANTUM HARDWARE
AND ERROR CORRECTION
TECHNIQUES
DESPITE THESE
CHALLENGES,
RESEARCHERS REMAIN
DEDICATED TO
EXPLORING THE
POTENTIAL OF QUANTUM
COMPUTING AND
DEVELOPING NEW
STRATEGIES TO
OVERCOME THE
OBSTACLES THAT STAND
IN THE WAY OF PROGRESS
28. Data Challenges in AI and the
Transition to Post-Quantum
Cryptography
• Integrating AI systems with quantum cryptographic systems is a
complex process highly dependent on data quality, volume,
privacy, security, and potential biases
• The successful implementation of AI in this context requires the
use of post-quantum cryptographic methods, particularly
considering the imminent arrival of quantum computers
• As such, it is crucial to prioritise the development of robust and
reliable solutions that can effectively address these issues and
ensure the safety and security of sensitive data
29. Opportunities: Enhanced Security
Mechanisms and AI-Driven
Quantum Systems
• The potential integration of AI's impressive data processing
capabilities with the unassailable security of quantum
cryptography could give rise to ultra-secure communication
channels impervious to classical and quantum threats
• With the rapid advancements in quantum computation, mounting
evidence suggests that quantum systems will soon outstrip
classical systems in terms of computational capabilities
• The implications of such a development could be far-reaching,
potentially revolutionising the way we think about secure
communication and data transfer
30. New Avenues in Research and
Development
• It is widely anticipated that quantum cryptography will
gain significant traction and attract greater funding in the
coming years
• This is largely due to the potential for merging quantum
concepts with artificial intelligence, which could pave the
way for new research areas and push the boundaries of
both fields
• By overcoming these obstacles, researchers can unlock a
wealth of possibilities that can lay the foundation for
ground-breaking advancements in computation and
security
31. Evolution of Public Key
cryptography
• Asymmetric cryptography, also called Public Key
cryptography, uses two mathematically linked keys: public
and private
• PK cryptography makes secure communication and
cryptographic features like key exchanges, digital
signatures, and data encryption possible
• PK cryptography ensures that communication between
parties is confidential and secure without needing a
shared key
32. Key concepts in cryptography
• The signatory must first generate a key pair consisting of a private key and a
public key to generate a digital signature
• The private key is kept confidential and never shared, whereas the public
key is made available
• A unique hash of the document or message to be signed is generated using
a hash function
• This hash value uniquely represents the document's content
• Hash signing occurs when the signer encrypts the generated hash value
using their private key
• To create this signature, the signer must generate a key pair consisting of a
private key and a public key
• The private key is confidential and never shared, while the public key is
available to all
33. Key concepts in cryptography
• This signature is an exclusive cryptographic
representation of the signed hash value to
ensure the utmost security of your
documents
• This signature is an exclusive cryptographic
representation of the signed hash value
unique to the signer and the document
34. Introduction to Quantum
Cryptography
• Quantum cryptography is a revolutionary technique that has the
potential to provide unparalleled security measures, based on the
principles of quantum mechanics
• In contrast to traditional cryptography, which relies on complex
mathematical problems, quantum cryptography utilises the unique
characteristics of quantum particles to establish an unbreakable
encryption method
• One of the key components of this approach is Quantum Key
Distribution , which allows two parties to generate a secret and
shared random key that can be used for secure communication
35. Role of Artificial Intelligence in
Security
• The role of Artificial Intelligence in cybersecurity has become
increasingly significant in recent times due to its ability to leverage
machine learning and advanced algorithms to rapidly identify
patterns, anomalies, and potential threats within vast data sets
• AI not only helps to identify cyber threats in real-time, but it also
provides predictive analysis to anticipate potential vulnerabilities,
enabling proactive security measures
• AI is revolutionising cybersecurity by providing a powerful tool to
combat cyber threats and protect sensitive data
36. Previous Studies on AI and
Quantum Cryptography
• There is ongoing research into the relationship between artificial
intelligence and quantum cryptography, a growing study area
• In 2019, a discussion delved into how quantum cryptography
could protect communication between trusted parties from
unauthorised listeners, indicating potential intersections with AI-
driven security measures
• These studies highlight the importance of continued exploration
in this interdisciplinary field, as AI and quantum cryptography
can shape the future of cybersecurity
38. Overview of AI Techniques in
Cryptography
• Artificial Intelligence has transformed many fields,
including cryptography
• Neural network-based AI is particularly useful for
improving cryptographic methods and cryptanalysis
• AI's ability to quickly analyse vast amounts of data
makes it an essential tool for identifying patterns
and predicting potential cryptographic threats,
which helps enhance security measures
39. AI in Classical Cryptography
• In traditional cryptography, artificial intelligence is mainly
used for cryptanalysis
• By training machine learning algorithms to recognise
patterns and deviations in encrypted data, they can
anticipate potential encryption keys and decode encrypted
texts without the key
• The combination of AI and classical cryptography has
progressed considerably, with cryptography contributing
to advancing AI techniques and vice versa
40. AI in Quantum Cryptography
• As quantum computing technology advances, there could
be vulnerabilities in cryptographic algorithms
• Still, AI's predictive abilities can help identify these
weaknesses and assist in creating algorithms that are
resistant to quantum computing
• Additionally, AI techniques can enhance quantum key
distribution procedures, ensuring secure communication
in quantum networks
42. Principles of Quantum
Cryptography
• The security of quantum cryptography is based on the
principles of quantum mechanics, a field of physics that
examines the behaviour of subatomic particles
• It functions because data preserved in quantum states
cannot be replicated or accessed without altering the
original state
• This fundamental concept, referred to as the "no-cloning
theorem," is essential in safeguarding quantum
cryptographic networks
43. Quantum Key Distribution
• Quantum Key Distribution is a secure
method that utilizes the concepts of
quantum mechanics to create and distribute
cryptographic keys between two parties
• The BB84 protocol is one of the most
widely used protocols in QKD
• The key feature of QKD is that it can detect
any attempts at eavesdropping
44. Quantum Cryptographic
Protocols
• There are various applications of quantum
cryptographic protocols aside from QKD
• For instance, there are quantum digital
signatures, quantum coin tosses, and quantum
secure direct communication
• These protocols use quantum mechanics to
perform tasks that are impossible with traditional
cryptography, thus ensuring more robust security
measures
45. Challenges and Solutions
• The concept of quantum cryptography presents new
possibilities for secure communication, but it also comes
with its own set of challenges
• In the real world, implementing QKD networks is
difficult due to issues such as quantum channel loss,
noise, and technological limitations
• Post-quantum cryptography offers algorithms that can
withstand quantum adversaries, bridging the gap between
classical and quantum cryptography techniques
47. Synergistic Approaches
• The convergence of artificial intelligence and quantum
cryptography presents unprecedented opportunities for
secure computations and improved cryptographic
protocols
• As AI models become more complex, quantum-secure
algorithms are of paramount importance
• Quantum computing provides a platform for artificial
intelligence algorithms that can process vast amounts of
data in polynomial time, enabling AI operations to be
performed more quickly and effectively
48. AI for Enhanced Quantum
Cryptographic Protocols
• Quantum cryptographic protocols such as BB84 can be
optimised using AI's machine learning capabilities
• By analysing quantum states and predicting the likelihood
of eavesdropping, artificial intelligence can dynamically
adjust quantum key distribution parameters to improve
security
• In addition, AI can aid in developing post-quantum
cryptographic algorithms, ensuring resistance to quantum
computer attacks
49. Quantum
Computing for
AI Model
Security
WHEN COMBINING
QUANTUM COMPUTING
WITH AI, NOVEL
ENCRYPTION
TECHNIQUES CAN BE
INTRODUCED, MAKING AI
MODELS MORE SECURE
QUANTUM BITS CAN
SIMULTANEOUSLY
REPRESENT MULTIPLE
STATES, PROVIDING A
HIGHER-DIMENSIONAL
COMPUTATION SPACE FOR
ARTIFICIAL
INTELLIGENCE THAT CAN
BE UTILISED TO DEVELOP
EVER-EVOLVING
ENCRYPTION SYSTEMS
THIS TYPE OF DYNAMIC
ENCRYPTION CAN
PRESENT DIFFICULTIES
FOR POTENTIAL
ATTACKERS
50. Potential Risks and Mitigations
• Integrating artificial intelligence and quantum
cryptography holds promise but is not without risk
• A constantly evolving encryption system may introduce
new vulnerabilities or be challenging to administer
• It is essential to balance innovation and risk management,
ensuring that ethical and security considerations remain at
the forefront of development as quantum technologies
advance
52. Current Applications
• The convergence of quantum computing and AI is
making significant strides in several scientific domains,
cryptography being one of them
• With the power of quantum computation, AI algorithms
are improving encryption methodologies, rendering them
more impregnable
• Cryptography is evolving with the emergence of quantum
key distribution , which exploits the singular traits of
quantum mechanics
53. Future Prospects
THE CONSOLIDATION OF
QUANTUM COMPUTING
AND AI HOLDS
TREMENDOUS POTENTIAL
TO REVOLUTIONISE
VARIOUS INDUSTRIES
THIS CONVERGENCE IS
ANTICIPATED TO
DRASTICALLY ENHANCE
COMPUTATIONAL SPEEDS,
LEADING TO SIGNIFICANT
ADVANCEMENTS IN
MEDICINE
MOREOVER, THE
ONGOING DEVELOPMENT
OF QUANTUM
ALGORITHMS IS POISED
TO ENHANCE THE
PROBLEM-SOLVING
ABILITIES OF AI IN THE
YEARS TO COME
54. Ethical Considerations
• As quantum and AI technologies advance,
ethical dilemmas emerge
• Quantum capabilities could potentially
decrypt sensitive data, posing potential
privacy risks
• In addition, the vast potential of quantum-
AI convergence may produce dependencies
that may be exploited maliciously
55. Policy and
Regulatory
Implications
ROBUST REGULATORY
FRAMEWORKS ARE
REQUIRED TO HARNESS
THE FULL POTENTIAL OF
QUANTUM AND AI
INTEGRATION WHILE
MITIGATING ASSOCIATED
RISKS
POLICYMAKERS MUST BE
PROACTIVE IN
UNDERSTANDING THESE
TECHNOLOGIES'
COMPLEXITIES TO
ENSURE DATA PRIVACY
AND SECURITY
ADDITIONALLY,
REGULATORY BODIES
MUST ENSURE THAT THE
ADVANCEMENT OF
TECHNOLOGY DOES NOT
ECLIPSE THE
SIGNIFICANCE OF
INDIVIDUAL RIGHTS AND
SOCIETAL WELFARE
57. Implementation of AI in Quantum
Cryptographic Systems
• The convergence of artificial intelligence and quantum
mechanics has paved the way for innovative encryption
methods that efficiently tackle the ever-changing and
increasingly complex security risks
• By combining the power of quantum computing with AI
algorithms, these techniques can effectively safeguard
sensitive data and prevent unauthorised access, ensuring
the highest level of protection for critical information
58. Real-world Applications and
Results
• The application of Quantum Artificial Intelligence has profoundly
impacted the security measures employed in the banking industry,
particularly in terms of enhancing data protection and transaction security
• The combination of quantum mechanics and artificial intelligence has
produced cutting-edge encryption techniques that are highly capable of
countering ever-changing threats
• However, a study has introduced a cybersecurity technique for financial
sector management that is based on artificial intelligence
• The authors claim that it enhances data privacy by 18.3%, scalability by
17.2%, risk reduction by 13.2%, data protection by 16.2%, and attack
prevention by 11.2%
59. Real-world Applications and
Results
• The retail industry has long been known
for its eagerness to integrate innovative
technologies into its operations
61. Summary of Findings
• Throughout our discussion, we delved into the fascinating realm
of artificial intelligence and quantum cryptography
• Our research has revealed that integrating AI and quantum
mechanics can potentially revolutionise cryptographic systems,
resulting in remarkable data protection and transaction security
advancements
• Implementing these cutting-edge technologies has already
produced tangible benefits in industries such as banking and
retail, where the safety and security of sensitive information and
transactions are paramount
62. Comparison with Previous
Research
• AI incorporation into quantum cryptographic
systems is a relatively recent area of exploration,
yet prior academic research has indicated its
potential for success
• Nevertheless, much remains to be learned and
uncovered regarding this convergence, and
additional empirical examination is crucial to
comprehensively understand its practical
implications
63. Theoretical and Practical
Implications
• The prospect of combining artificial intelligence with
quantum cryptography is a tantalising one
• The potential benefits of such a merger are numerous
and could fundamentally transform how we approach
data security
• Additionally, combining AI and quantum cryptography
could have far-reaching implications for other industries,
such as healthcare, national security, and
telecommunications
64. Recommendations for Future
Research
• It would be beneficial for future research to delve deeper
into the various sectors that utilise AI-powered quantum
cryptography
• By doing so, researchers can gain a better understanding
of the practical challenges and advantages that arise
within each sector
• It is imperative to thoroughly scrutinise the sustainability
and flexibility of these mechanisms, particularly
considering the constant advancements in both AI and
quantum mechanics
65. Conclusion: Recapitulation of
Key Findings
• Our discussion delved into the intricate correlation
between artificial intelligence and quantum cryptography
• We unearthed that by amalgamating these two domains,
we can effectively enhance cryptographic systems, thereby
fortifying security measures
• The integration has facilitated the development of robust
security protocols that have bolstered users' trust in these
sectors
66. Contributions of the Study
• As a result of this thorough discourse, we have acquired a
deeper understanding of a highly specialised area of
research, highlighting the paramount importance of
artificial intelligence in quantum cryptographic systems
• While prior investigations have delved into the correlation
between AI and quantum mechanics, scrutinising their
confluence from a pragmatic angle presents an exclusive
viewpoint to the discourse
67. Recommendations
for Practice
COMPANIES THAT
DEPEND ON SECURE
DATA TRANSMISSIONS
OUGHT TO ALLOCATE
RESOURCES TOWARDS
RESEARCH AND
DEVELOPMENT THAT
COMBINES ARTIFICIAL
INTELLIGENCE AND
QUANTUM MECHANICS
THIS COULD RESULT IN
MORE RESILIENT AND
ADAPTABLE
CRYPTOGRAPHIC
SYSTEMS, ULTIMATELY
IMPROVING DATA
SECURITY
ADDITIONALLY,
ORGANISATIONS SHOULD
PRIORITISE TRAINING
THEIR EMPLOYEES TO
ADAPT TO THESE
CUTTING-EDGE
TECHNOLOGIES
68. Suggestions for
Future Research
WE MUST FOCUS OUR
RESEARCH EFFORTS ON
SPECIFIC SECTORS TO
TRULY ADVANCE OUR
UNDERSTANDING OF AI-
DRIVEN QUANTUM
CRYPTOGRAPHIC SYSTEMS
AS TECHNOLOGY
CONTINUES TO PROGRESS
AT A RAPID PACE, WE
MUST CONSIDER THE
ETHICAL IMPLICATIONS
OF USING AI AND
QUANTUM
CRYPTOGRAPHY,
PARTICULARLY WHEN IT
COMES TO DATA PRIVACY
AND THE POTENTIAL FOR
MISUSE
BY ENCOURAGING CLOSE
COLLABORATION
BETWEEN AI EXPERTS
AND QUANTUM
PHYSICISTS, WE CAN
CREATE A MORE
COMPREHENSIVE AND
INNOVATIVE APPROACH
TO DATA SECURITY THAT
CONSIDERS BOTH THESE
CUTTING-EDGE
TECHNOLOGIES'
TECHNICAL AND ETHICAL
CONSIDERATIONS