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MSc Thesis Proposal Announcement by Nasim Al Goni: "A P2P Optimistic Fair Exchange (OFE) Scheme For Personal Health Records Using Blockchain Technology"

Thursday, October 17, 2019 - 11:00 to 12:30


The School of Computer Science is pleased to present…

MSc Thesis Proposal by: Nasim Al Goni
Date: October 17, 2019
Time: 11:00 – 12:30 AM 
Location: Essex Hall 122


In digital communication, non-repudiation is undeniable evidence of one’s responsibility regarding the validity of any data he shares/receives.  Fair exchange is a property in message exchange protocol where at any point in the communication fairness is guaranteed. Using a fair exchange, neither the sender nor the recipient will be in any advantageous (or disadvantageous) situation under any circumstances. Combining fair exchange and non-repudiation is critical in many applications where sensitive data are exchanged between different parties. Fair exchange policy can be acquired with or without the involvement of any trusted third party (TTP). However, without the involvement of TTP, fairness becomes probabilistic, and on the other hand, the involvement of TTP can cause significant dependency on the trusted third party. As an emerging technology, blockchain, like many other cases, can play a pivotal role in mitigating both the drawbacks. Blockchain is designed in such a way that the network can handle the trustless environment and deliver the correct result. Thus, if the exchanges are done leveraging blockchain, it will ensure real fairness, and at the same time, none of the participants have to deal with the trust issue. Recently there have been some works done on this background. Nevertheless, none of the designs are drawn considering the exchange of sensitive healthcare data. Here, we are going to propose a scheme that will ensure real fairness while exchanging personal health records leveraging blockchain technology.

Thesis Committee: 

Internal Reader: Dr. Saeed Samet; Faculty of Science | Computer Science
External Reader: Dr. Balakumar Balasingam; Faculty of Engineering | Electrical & Computer Engineering (ECE)
Advisor: Dr. Sherif Saad; Faculty of Science | Computer Science

MSc Thesis Proposal Announcement

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