Date of Award
2024
Type
Thesis
Major
BS/MS Computer Science
Degree Type
Master of Applied Computer Science
Department
TSYS School of Computer Science
First Advisor
Dr. Yeşem Kurt Peker
Second Advisor
Dr. Lixin Wang
Third Advisor
Dr. Linqiang Ge
Abstract
This study proposes a blockchain based system that utilizes fully homomorphic encryption to provide security of data in use as well as computational integrity. This is achieved by leveraging the attributes of blockchain which provides availability and data integrity combined with homomorphic encryption that provides confidentiality. The proposed system is designed to perform statistical operations, including mean, median and variance, on encrypted data, thus providing confidentiality of data while in use. The computations are performed on the smart contract, residing on the blockchain which provides computational integrity. The results indicate that it is possible to perform fully homomorphic computations on the blockchain. However, there is a need for more resources and enhancement in technology for such a system to be implemented as a real-world application.
Recommended Citation
Raj, Rahul, "Blockchain for Computational Integrity and Privacy" (2024). Theses and Dissertations. 530.
https://csuepress.columbusstate.edu/theses_dissertations/530
