The School of Computer Science at the University of Windsor is pleased to present …

Mahdi Ghadamyari

 

Date: August 14, 2019

Time: 9:00 am – 10:00 am

Location: Lambton Tower Room 3105

 

Blockchain is a decentralized and peer-to-peer ledger technology that adds transparency, traceability, and immutability to data. It has shown a great promise to mitigate the interoperability problem and privacy concerns in the de facto electronic health record management systems and has recently received increasing attention from the healthcare industry. Research in this field is expected to increase rapidly as more researchers have begun to conduct research on the adoption of this new and disrupting technology in healthcare.

Several blockchain-based and decentralized health data management mechanisms have been proposed to improve the quality of care delivery to patients. Apart from care delivery, health data has other important usages such as education, regulation, research, public health improvement, and policy support. However, existing privacy acts prohibit health institutions and providers from sharing patients' data with third parties. Therefore, to enable research institutions conducting research on private health data, a secure system is needed that provides accurate analysis results to the researchers while preserving the privacy of patients and minimizing the risks of data breaches.

In this thesis, we are proposing a privacy-preserving method to perform statistical analysis on health data in a distributed blockchain network. In this work, we aim to increase the security level of data and at the same time, minimize the amount of unnecessary information from being exposed to third parties.

 

Thesis Committee:

Thesis Proposal Announcement

 

5113 Lambton Tower, 401 Sunset Ave., Windsor ON., N9B 3P4  (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca