“SeSPHR: A Methodology for Secure
Sharing of Personal Health Records
in the Cloud Using IOT”
Presented by:
1. Pratiksha katre
2. Vishwajeet
Tiwadkar
3. Varun jain
Guided By:
Dr. Kotadi Chinnaiah

Company Name : Phoenixzone Technologies Pvt Ltd.
Project Name : Personal Health Record on Cloud.
Start Date : Dec 15 2020
Language : java , HTML
Type : Desktop Application
Project Overview

Topics Covered
⚫ Introduction
⚫ Problem Statement
⚫ Scope
⚫ Motivation
⚫ Objectives
⚫ Proposed System
⚫ System Architecture
⚫ Modules
⚫ Software Requirements
⚫ Hardware Requirements
⚫ Conclusion
⚫ References

Introduction
⚫ The broad acknowledgment of cloud based services in the
healthcare sector has brought about practical and helpful trade
of Personal Health Records (PHRs) among a few taking part
elements of the e-Health systems.
⚫ We propose an approach called SeSPHR for secure sharing of
the PHRs in the cloud.
⚫ The SeSPHR scheme ensures patient-centric control on the
PHRs and preserves the classification of the PHRs.
⚫ SeSPHR strategy can possibly be utilized for safely sharing the
PHRs in the cloud.

Problem Statement
⚫ To solve the problem of data exchange between medical units,
We propose system which helps to improve patient safety and
quality care, but also reduce time and resources.

Scope
⚫ The proposed scheme is able to resist internal and external
attacks.
⚫ The generation of keys and the algorithms are simple.
⚫ The proposed scheme overcomes the dynamic access control
problems.

Motivation
⚫ The area of healthcare is involved with handling of patient
sensitive data. Security and privacy of these data is very
important. While doing online transfer of these secret data over
the public network, it can be viewed and/or modified by the
attackers.
⚫ Hence the motivation behind this work is to propose a system
which share patient’s Health Records over the cloud
confidentially and Securely.

Objectives
⚫ To develop an application that will provide interface to both
physicians and patients.
⚫ To develop an healthcare application that will provide secure,
trustful and reliable communication for different communities
in healthcare area.
⚫ The main objective of SesPHR to support the maintenance of
integrated, efficient and quality health.
⚫ To develop an SesPHR for Doctors need, in critical moments,
patients health information in real time, this is because right
information at the right time saves lives.

Proposed System
⚫ In the proposed system, a sensor node has attached on patient
body to collect all the signals from the wireless sensors and
sends them to the cloud.
⚫ The attached sensors on patient’s body form a wireless body
sensor network (WBSN) and they are able to sense the pulse
rate, body temperature and so on.
⚫ Also to monitor the saline level we are using ultrasonic sensor.
⚫ This system can detect the abnormal conditions, issue an alarm
to the Patient and send a SMS/E-mail to the physician.

Continue…
⚫ We have developed this system in multi-patient architecture for
hospital healthcare and compared it with the other existing
networks based on multi-hop relay node in terms of coverage,
energy consumption and speed.

System Architecture

Modules
⚫Module 1: Data Owner(Patient)
• Patient module involves tiny wireless sensors that are
embedded inside or surface-mounted on the body of a patient.
• These sensors continuously monitor the vital physiology
parameters of the patient such as body temperature, pulse rate
and also monitor the saline level.
• Collected personal health data are aggregated and transmitted
via wireless interface to the cloud.

Continue Modules…
⚫Module 2: Data User
⚫ Doctors, nursing staff, pharmacies, clinical laboratory personnel,
insurance providers, and the service providers is the data users
in Health network.
⚫ In SeSPHR, a data uses resource-limited terminals to generate
secret keys and conduct the information retrieval operation.
⚫ The secret keys are sent to the public cloud via wireless channel
and the retrieved PHR files are returned. Then, the data user
decrypts the PHR files and verifies the correctness of
decryption.

⚫Module 3: Public cloud
• The public cloud has almost unlimited storage and computing
power to undertake the PHR remote storage task and respond
on data retrieval requests.
• Lightweight test algorithm is designed in our proposed system
to improve performance.
Continue Modules…

⚫Module 4: Key Generation Center(KGC)
• KGC generates public parameters for the entire system and
distributes secret keys to data users. A data users set of
attributes is embedded in his secret key to realize access
control.
• If a traitor sells his secret key for financial gain, the KGC is able
to trace the identity of the malicious user and revoke his secret
key.
Continue Modules…

Continue Modules…
⚫Module 5: IOT
• IOT Module contains Temperature Sensor, Pulse Rate Sensor,
Micro-controller and saline level Monitoring.
• Temperature Sensor and Pulse Rate Sensor are embedded
surface-mounted on the body of a patient continuously monitor
the vital physiological parameters of the patient such as body
temperature, pulse rate.
• Microcontroller is used to monitor the saline level.

⚫ The values collected from different sensors stored in text or
pdf file and share in cloud.
Continue Modules…

Software Requirements
• Operating System : Windows 7 or above
• Technology Used : Java
• Platform : JDK 1.8
• Front End : HTML
• Development IDE : Netbeans/Android Studio

Hardware Requirements
• Hard disk : 80GB
• RAM : 1 GB
• Processor : Intel Pentium 4 and above
• Temperature Sensor
• Pulse Rate Sensor
• Microcontroller

Conclusion
⚫ We proposed a procedure to safely store and transmission of
the PHRs to the authorized elements in the cloud.
⚫ The strategy preserves the security of the PHRs and authorizes
a patient-driven access control to various segments of the PHRs
on the access provided by the patients.
⚫ The PHR owners store the encrypted information on the cloud
and just the approved users having valid re-encryption keys
issued by a semi-trusted authority can decrypt the PHRs.
⚫ The job of the semi-trusted authority is to produce and store the
public/private key sets for the clients in the system.

References
[1] K. Gai, M. Qiu, Z. Xiong, and M. Liu, “Privacy-preserving multi-channel
communication in Edge-of-Things”, Future Generation Computer Systems, 2018.
[2] K. Gai, M. Qiu, and X. Sun, “A survey on FinTech”, Journal of Network and
Computer Applications, 2017.
[3] M. H. Au, T. H. Yuen, J. K. Liu, W. Susilo, X. Huang, Y. Xiang, and Z. L. Jiang, “A
general framework for secure sharing of personal health records in cloud system”,
Journal of Computer and System Sciences, 2017.
[4] A. Abbas, K. Bilal, L. Zhang, and S. U. Khan, “A cloud based health insurance plan
recommendation system: A user centered approach, Future Generation Computer
Systems, 2015.
[5] Assad Abbas, Samee U. Khan, Senior Member, “A Review on the State-of-the-Art
Privacy Preserving Approaches in the e-Health Clouds”, IEEE 2014.

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