Paper 2019/437
Efficient coding for secure computing with additively-homomorphic encrypted data
Thijs Veugen
Abstract
A framework is introduced for efficiently computing with encrypted data. We assume a semi-honest security model with two computing parties. Two different coding techniques are used with additively homomorphic encryption, such that many values can be put into one large encryption, and additions and multiplications can be performed on all values simultaneously. For more complicated operations such as comparisons and equality tests, bit-wise secret sharing is proposed as an additional technique that has a low computational and communication complexity, and which allows for precomputing. The framework is shown to significantly improve the computational complexity of state-of-the-art solutions on generic operations such as secure comparisons and secure set intersection.
Metadata
- Available format(s)
-
PDF
- Category
- Cryptographic protocols
- Publication info
- Published elsewhere. International Journal of Applied Cryptography
- Keywords
- packingbatchinghomomorphic encryptionsecure comparisonsecure equalitysecure set intersectionvector addition chain
- Contact author(s)
- thijs veugen @ tno nl
- History
- 2019-05-03: received
- Short URL
- https://ia.cr/2019/437
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2019/437,
author = {Thijs Veugen},
title = {Efficient coding for secure computing with additively-homomorphic encrypted data},
howpublished = {Cryptology {ePrint} Archive, Paper 2019/437},
year = {2019},
url = {https://eprint.iacr.org/2019/437}
}
