Abstract
Secure computation is required to protect data security and privacy. Homomorphic encryption is known as a safe way for secure computation. However, it comes with limitations such that the ciphertexts to be evaluated must be encrypted with the same key. In the multiparty system, homomorphic evaluation becomes more complex apart from the existing complexity of the homomorphic encryption because of the limitation. In this article, the multi party homomorphic evaluations that are available in the literature are investigated and a novel design is proposed. Distributed proxy re-encryption algorithm that is available for untrusted or semi-trusted system is presented besides distibuted decryption protocol. The pro-posed design is implemented with k-nearest neighbors (KNN) classification algorithm and the results are evaluated in terms of security, privacy and efficiency. The suggested protocol increases operational efficiency while the data security and privacy are provided.
Original language | English |
---|---|
Title of host publication | 2024 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 199-204 |
Number of pages | 6 |
ISBN (Electronic) | 9798350351859 |
DOIs | |
Publication status | Published - 2024 |
Event | 12th IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2024 - Tbilisi, Georgia Duration: 24 Jun 2024 → 27 Jun 2024 |
Publication series
Name | 2024 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2024 |
---|
Conference
Conference | 12th IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2024 |
---|---|
Country/Territory | Georgia |
City | Tbilisi |
Period | 24/06/24 → 27/06/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- homomorphic encryption
- proxy re-encryption
- secure data mining
- secure multiparty compu-tation