A Secure Two-Party Euclidean Distance Computation Scheme Through a Covert Adversarial Model Based on Paillier Encryption
| Autor: | Li Su, Huizheng Geng, Sixu Guo, Shen He |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | IEEE Access, Vol 11, Pp 80986-80996 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2169-3536 71792244 |
| DOI: | 10.1109/ACCESS.2023.3300044 |
| Popis: | Existing secure two-party Euclidean distance computation schemes are mostly performed based on a semi-honest model, which faces bottlenecks in computation efficiency and security. In view of this, this study proposed a secure two-party euclidean distance computation (SEDC) scheme under a covert adversarial model based on Paillier encryption. In the scheme, the secure two-party Euclidean distance was computed by using technologies, such as Paillier encryption, and the computation results were verified with each other to ensure that both parties sent real data and had no cheating in the process of parameter interaction. Through verification, the scheme is correct, confidential and unforgeable under chosen-plaintext attack. Scheme comparison and efficiency analysis show that the scheme achieves a balance in the security model, which not only has relatively high security, but also is more in line with the value of Euclidean distance computation in practice. In the meanwhile, this ensures the slight communication complexity and time complexity in the computation of the scheme and enables the scheme to be of high application prospect. |
| Databáze: | Directory of Open Access Journals |
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