Paper 2018/201
Efficient Parallel Binary Operations on Homomorphic Encrypted Real Numbers
Jim Basilakis and Bahman Javadi
Abstract
A number of homomorphic encryption application areas, such as privacy-preserving machine learning analysis in the cloud, could be better enabled if there existed a general solution for combining sufficiently expressive logical and numerical circuit primitives to form higher-level algorithms relevant to the application domain. Logical primitives are more efficient in a binary plaintext message space, whereas numeric primitives favour a word-based message space before encryption. In a step closer to an overall strategy of combining logical and numeric operation types, this paper examines accelerating binary operations on real numbers suitable for somewhat homomorphic encryption. A parallel solution based on SIMD can be used to efficiently perform addition, subtraction and comparison operations in a single step. The result maximises computational efficiency, memory space usage and minimises multiplicative circuit depth. Performance of these primitives and their application in min-max and sorting operations are demonstrated. In sorting real numbers, a speed up of 25-30 times is observed.
Metadata
- Available format(s)
-
PDF
- Category
- Implementation
- Publication info
- Preprint.
- Keywords
- implementationhomomorphic encryption
- Contact author(s)
- j basilakis @ westernsydney edu au
- History
- 2018-02-22: received
- Short URL
- https://ia.cr/2018/201
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2018/201,
author = {Jim Basilakis and Bahman Javadi},
title = {Efficient Parallel Binary Operations on Homomorphic Encrypted Real Numbers},
howpublished = {Cryptology {ePrint} Archive, Paper 2018/201},
year = {2018},
url = {https://eprint.iacr.org/2018/201}
}
