Fotouhi, Arian (2022) Development of a Trust-enhanced Data Sharing System. Masters thesis, Concordia University.
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Abstract
Despite importance of data sharing, there are several challenges yet to be tackled, especially security and privacy in which the users roughly may trust to utilize a platform that is insecure to protect privacy violation. Recently, blockchain technology as an immutable and decentralized ledger has emerged to be a promising solution to security and privacy issues. To improve the trust in data sharing systems, reputation systems are deemed advantageous. In fact, the users receive reputation based on their collaboration. It is worth noting, the blockchain-based data sharing and reputation systems impose complexities to the systems as well. This work presents an improved data sharing scheme in terms of privacy, security and latency. The idea features enhancement in performance of blockchain technology and reputation system. Besides, we have implemented the proposed idea as a web application to provide facilitated access for data sharing users. Most of the challenges of development are originated from the fact that many parts of this implementation is from scratch, unlike most of research works on data sharing implementations. We opted for this type of development because there exist common demerits in developments of data sharing frameworks and we believe the reason is to utilize the external and built-in tools imposing many constraints, e.g. communication costs. Besides, the development steps and their corresponding challenges are demonstrated as well. As the final stage, we evaluated the performance and depicted the results to compare and assess the quality of implemented data sharing framework.
Divisions: | Concordia University > Gina Cody School of Engineering and Computer Science > Electrical and Computer Engineering |
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Item Type: | Thesis (Masters) |
Authors: | Fotouhi, Arian |
Institution: | Concordia University |
Degree Name: | M.A. Sc. |
Program: | Electrical and Computer Engineering |
Date: | 1 December 2022 |
Thesis Supervisor(s): | Cai, Jun |
ID Code: | 991497 |
Deposited By: | Arian Fotouhi |
Deposited On: | 21 Jun 2023 14:31 |
Last Modified: | 21 Jun 2023 14:31 |
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