A Study on Partially Homomorphic Encryption
Jihyeon Ryu, Keunok Kim, Dongho Won
20232023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)14 citationsDOI
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.
Topics & Concepts
Homomorphic encryptionComputer scienceHomomorphic secret sharingElGamal encryptionEncryptionCiphertextPaillier cryptosystemComputer securityOn-the-fly encryptionCloud computingKey (lock)Theoretical computer sciencePublic-key cryptographyCryptographyHybrid cryptosystemOperating systemSecure multi-party computationCryptography and Data SecurityCryptography and Residue ArithmeticCoding theory and cryptography