Secure Smart Contract-Based Data Aggregation using Homomorphic Encryption

Bachelor thesis (2022)

Authors

F.E. Joosen Electrical Engineering, Mathematics and Computer Science

Contributors

K. Liang Cyber Security - EEMCS (mentor)
S. Roos Data-Intensive Systems - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Floor Joosen
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Published Date

27-01-2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Privacy and security are important topics in data aggregation, as companies are aggregating large amounts of sensitive data from their users. The aim of this paper is to improve the security and privacy of data aggregation using smart contracts, homomorphic encryption and post-quantum encryption methods on Hyperledger Fabric. After a literature study, the protocol discussed in \cite{Regueiro2021} was taken as the starting point for an adapted protocol. The adapted protocol is implemented and tested on performance and the security is discussed. The protocol is improved in terms of security by resolving or lowering the chance of security flaws that were present in the protocol in \cite{Regueiro2021}, and introducing post-quantum encryption. However, the adapted protocol in its current implementation is not scalable.