A Study on Partially Homomorphic Encryption
- Authors
- Ryu, J.[Ryu, J.]; Kim, K.[Kim, K.]; Won, D.[Won, D.]
- Issue Date
- 2023
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Cryptosystem; Homomorphic Encryption; Security Strength
- Citation
- Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023
- Indexed
- SCOPUS
- Journal Title
- Proceedings of the 2023 17th International Conference on Ubiquitous Information Management and Communication, IMCOM 2023
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/104477
- DOI
- 10.1109/IMCOM56909.2023.10035630
- ISSN
- 0000-0000
- Abstract
- Recently, data experts can obtain a large amount of data with the development of the Internet. When computing such data, cloud services that do not use the personal device's memory are becoming popular. However, storing sensitive data as a source in the cloud carries the risk of hijacking. To compensate for this, homomorphic encryption, which encrypts and stores sensitive data, and can safely operate in an encrypted state, is being studied. In this paper, we analyze four methods of partially homomorphic encryption among homomorphic encryption methods. We compare and analyze the key size and ciphertext size of four partially homomorphic encryptions, Paillier, ElGamal, ASHE, and Symmetria. © 2023 IEEE.
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Collections - Graduate School > Interaction Science > 1. Journal Articles
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