{"id":{"repo_id":"columbus-state","oai_identifier":"oai:csuepress.columbusstate.edu:theses_dissertations-1532"},"canonical_url":"https://search.dev.ndltd.org/etd/columbus-state/oai:csuepress.columbusstate.edu:theses_dissertations-1532","repository":{"repo_id":"columbus-state","name":"Columbus State University","base_url":"https://csuepress.columbusstate.edu/do/oai/"},"display":{"title":"Blockchain for Computational Integrity and Privacy","abstract":"<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>","abstract_html":"&lt;p&gt;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.&lt;/p&gt;","abstract_has_math":false,"creators":["Raj, Rahul"],"institution":null,"degree_name":"BS/MS Computer Science","degree_level":"Thesis","degree_discipline":"TSYS School of Computer Science","degree_department":null,"school":null,"contributors":["Dr. Yeşem Kurt Peker","Dr. Lixin Wang","Dr. Linqiang Ge"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-01-01T08:00:00Z","date_published":"2024-01-01T08:00:00Z","updated_at":"2026-07-24T01:44:41Z","subjects":["Computational Integrity","Privacy","Blockchain","Homomorphic Encryption","Computer Sciences"],"languages":["english"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://csuepress.columbusstate.edu/theses_dissertations/530","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dr. Yeşem Kurt Peker","Dr. Lixin Wang","Dr. Linqiang Ge"]},{"key":"dc:creator","label":"Author","values":["Raj, Rahul"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2024-05-21T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["TSYS School of Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["BS/MS Computer Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computational Integrity","Privacy","Blockchain","Homomorphic Encryption","Computer Sciences"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["english"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://csuepress.columbusstate.edu/theses_dissertations/530"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<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>"]},{"key":"dc:title","label":"Title","values":["Blockchain for Computational Integrity and Privacy"]}]}],"canonical_facts":{"dc:contributor":["Dr. Yeşem Kurt Peker","Dr. Lixin Wang","Dr. Linqiang Ge"],"dc:creator":["Raj, Rahul"],"dc:date.available":["2024-05-21T07:00:00Z"],"dc:description.abstract":["<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>"],"dc:identifier":["https://csuepress.columbusstate.edu/theses_dissertations/530"],"dc:language":["english"],"dc:subject":["Computational Integrity","Privacy","Blockchain","Homomorphic Encryption","Computer Sciences"],"dc:title":["Blockchain for Computational Integrity and Privacy"],"thesis:degree_discipline":["TSYS School of Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["BS/MS Computer Science"]},"updated_at":"2026-07-24T01:44:41Z"}