English

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 kk-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

R2 v1 2026-06-22T18:55:31.597Z