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Data Privacy, Security in personal data sharing

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Data Privacy, Security in personal data sharing

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Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.

This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.

Big Data lay at the core of the strong data economy that is emerging in Europe. Although both large enterprises and SMEs acknowledge the potential of Big Data in disrupting the market and business models, this is not reflected in the growth of the data economy. The lack of trusted, secure, ethical-driven personal data platforms and privacy-aware analytics, hinders the growth of the data economy and creates concerns. The main considerations are related to the secure sharing of personal and proprietary/industrial data, and the definition of a fair remuneration mechanism that will be able to capture, produce, release and cash out the value of data, always for the benefit of all the involved stakeholders.

This webinar will focus on how such concerns that pertain to privacy, ethics and intellectual property rights can be tackled, by allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities (companies or not), as researched by the DataVaults project.

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Data Privacy, Security in personal data sharing

  1. 1. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Data Privacy, Security, in Personal Data Sharing Dr. Thanassis Giannetsos Associate Professor, DTU, Denmark 08/05/2020Big Data PPP Personal Data Platforms: Empowering Citizens Leveraging their Data Power 1
  2. 2. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Vision ▪ FOR WHOM? DataVaults will enable a new mode of collaboration/business relationship between individuals and organizations that would like to manage/process the personal data of individuals ▪ WHY? Turn the personal data value chain into a multi-sided and multi-tier ecosystem governed by smart contracts to safeguard data ownership, privacy and usage and attribute value to all entities that generate value within this chain and especially data owners. DataVaults aims to deliver a framework and a platform that has personal data, coming from diverse sources in its centre and that defines secure, trusted and privacy preserving mechanisms allowing individuals to take ownership and control of their data and share them at will, through flexible data sharing and fair compensation schemes with other entities Target Users: Individuals – Data Providers – Data Seekers & Data Analysts 2
  3. 3. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Blockchain’s Technology of Trust ▪ Transformational technology offering secure, real-time transactions across different sectors and stakeholders ▪ Security essentials ✓Security, Privacy, Identity Management? ✓Integrity and Confidentiality? ✓Authorization and Access Control? ✓Data privacy? Forward and Backward Privacy? ✓Fairness? ▪ Blockchain-based Trust Anchors 3 I. Towards Data Sharing Economies
  4. 4. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Road Ahead for Blockchain-based Trust Anchors ▪ Classification in five main elements ▪ Governance ✓ Policies around identity and access management, on-boarding new members, secure key management, data management policies and more ✓ Security Policy Enforcement ▪ Application ✓ Smart contracts reflecting the secure and privacy-preserving data exchange and sharing, with third-party stakeholders, enable the business logic in the ecosystem ▪ Data ✓ Confidentiality and Data Protection ✓ On- and Off-Chain data maintenance with high levels of confidentiality ✓ Crypto primitives to be used – span from straightforward (i.e., encryption, signatures, HMACs, etc.) to more advanced like DAA, Digital Twins, ABE, etc. ▪ Transactions ✓ How consensus of transactions is reached? Shared ledger updates ▪ Endpoint Vulnerabilities ✓ Trusted Platform Module (TPM) to run in the host user devices and the backend 4
  5. 5. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. Safeguarding for the Future ▪ Blockchain Ecosystem Rules and Permissions manage onboarding of participants into the network and the roles within the network ▪ Smart Contracts are self-executing, logical workflow agreements to manage the access and use of value and data, third-party applications will also be integrated ▪ On-chain Data Encryption where each data item can be encrypted individually or collectively ▪ Blockchain consensus and rules for participants to agree on rules for committing transactions and updating the shared ledger ▪ Blockchain Network & Systems for participant nodes stand in their infrastructure and network, communicating through public or private connections 5 ▪ Identity and Access Management, Key Management via TPMs ▪ Information Security Guidelines & Policies, Security Training ▪ Application Security, Secure code development & guidelines ▪ Vulnerability and Risk Assessment ▪ Encryption and Key Management, Privacy Policies and Controls ▪ Industry specific standards and regulation ▪ Off-chain Data Security ▪ Secure and sustainable choice of consensus ▪ Fork management and maintenance ▪ Periodical Vulnerability Assessment & Risk Management ▪ Logging and Monitoring ▪ Endpoint Security and Patch Management ▪ BLOCKCHAIN ▪ Security & Privacy
  6. 6. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. ▪ ISO Standards – TC 307 with various WGs ▪ Practical Essentials ▪ Interoperability between different ledger technologies and other trusted computing technologies ▪ Improved Security and Privacy ▪ Reduced Implementation Costs ▪ Risk Reduction ▪ Removing barriers to entry ▪ Assessment of Blockchain quality ▪ For service providers, increase trust and reputation ▪ By-product benefits ▪ Support of innovation, competition, governance, development and growth, especially cross-organization ▪ Use case references and repository ▪ Increased adoption 6 Safeguarding for the Future
  7. 7. DataVaults is a project co-funded by the Horizon 2020 Program of the European Union (H2020-ICT-2019-2) under Grant Agreement No. 871755 and is contributing to the BDV-PPP of the European Commission. THANK YOU Thanassis Giannetsos atgi@dtu.dk https://www.datavaults.eu 7

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