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Comparative Analysis of Homomorphic Encryption Algorithms Based on Learning with Errors
2020
Proceedings of the Institute for System Programming of RAS
The widespread use of cloud technology allows optimizing the economic costs of maintaining the IT infrastructure of enterprises, but this increases the likelihood of theft of confidential data. One of the mechanisms to protect data from theft is cryptography. Using the classical primitives of symmetric and asymmetric encryption does not allow processing data in encrypted form. Homomorphic encryption is used for processing confidential data. Homomorphic encryption allows performing of arithmetic
doi:10.15514/ispras-2020-32(2)-4
fatcat:uk42jlsegfbybpgkqfzlctlwta