Blockchain for Computational Integrity and Privacy

<p>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.</p>

Name thesis:degree_name

BS/MS Computer Science

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

TSYS School of Computer Science

Year dc:date.available

2024

Author dc:creator

• Raj, Rahul

Contributors dc:contributor

• Dr. Yeşem Kurt Peker
• Dr. Lixin Wang
• Dr. Linqiang Ge

• Computational Integrity
• Privacy
• Blockchain
• Homomorphic Encryption
• Computer Sciences

Language dc:language

english

Repository record dc:identifier

https://csuepress.columbusstate.edu/theses_dissertations/530

OAI identifier oai:identifier

oai:csuepress.columbusstate.edu:theses_dissertations-1532