k-Anonymously Private Search over Encrypted Data
Cryptography and Security
2017-03-27 v1
Abstract
In this paper we compare the performance of various homomorphic encryption methods on a private search scheme that can achieve -anonymity privacy. To make our benchmarking fair, we use open sourced cryptographic libraries which are written by experts and well scrutinized. We find that Goldwasser-Micali encryption achieves good enough performance for practical use, whereas fully homomorphic encryptions are much slower than partial ones like Goldwasser-Micali and Paillier.
Keywords
Cite
@article{arxiv.1703.08269,
title = {k-Anonymously Private Search over Encrypted Data},
author = {Shiyu Ji and Kun Wan},
journal= {arXiv preprint arXiv:1703.08269},
year = {2017}
}
Comments
7 pages, 4 tables