Paper 2023/065
A Practical TFHE-Based Multi-Key Homomorphic Encryption with Linear Complexity and Low Noise Growth
, EURECOM, Czech Technical University in Prague, EURECOMAbstract
Fully Homomorphic Encryption enables arbitrary computations over encrypted data and it has a multitude of applications, e.g., secure cloud computing in healthcare or finance. Multi-Key Homomorphic Encryption (MKHE) further allows to process encrypted data from multiple sources: the data can be encrypted with keys owned by different parties. In this paper, we propose a new variant of MKHE instantiated with the TFHE scheme. Compared to previous attempts by Chen et al. and by Kwak et al., our scheme achieves computation runtime that is linear in the number of involved parties and it outperforms the faster scheme by a factor of 4.5-6.9x, at the cost of a slightly extended pre-computation. In addition, for our scheme, we propose and practically evaluate parameters for up to 128 parties, which enjoy the same estimated security as parameters suggested for the previous schemes (100 bits). It is also worth noting that our scheme—unlike the previous schemes—did not experience any error in any of our nine experiments, each running 1 000 trials.
Note: Minor corrections.
Metadata
- Available format(s)
-
PDF
- Category
- Foundations
- Publication info
- Published elsewhere. ESORICS'23
- Keywords
- Multi-key homomorphic encryptionTFHE schemeSecure cloud computing
- Contact author(s)
- fakubo @ gmail com
- History
- 2023-04-21: revised
- 2023-01-20: received
- See all versions
- Short URL
- https://ia.cr/2023/065
- License
-
CC BY-NC-SA
BibTeX
@misc{cryptoeprint:2023/065,
author = {Jakub Klemsa and Melek Önen and Yavuz Akın},
title = {A Practical {TFHE}-Based Multi-Key Homomorphic Encryption with Linear Complexity and Low Noise Growth},
howpublished = {Cryptology {ePrint} Archive, Paper 2023/065},
year = {2023},
url = {https://eprint.iacr.org/2023/065}
}
