Optimizing Homomorphic Encryption Parameters for Arbitrary Applications

Charles Gouert; Rishi Khan; Nektarios Georgios Tsoutsos

Paper 2022/575

Optimizing Homomorphic Encryption Parameters for Arbitrary Applications

Charles Gouert, Rishi Khan, and Nektarios Georgios Tsoutsos

Abstract

Homomorphic encryption is a powerful privacy-preserving technology that is notoriously difficult to configure, even for experts. In this article, we outline methodologies for determining optimal cryptographic parameters for any arbitrary application. We provide guidelines for both leveled and fully homomorphic encryption, and demonstrate the presented strategies with the BGV cryptosystem.

Note: Our GitHub repository is accessible here: https://github.com/TrustworthyComputing/BGVparam

Metadata

Available format(s): PDF
Category: Applications
Publication info: Preprint. MINOR revision.
Keywords: Encrypted computing Homomorphic encryption Parameter optimization
Contact author(s): tsoutsos @ udel edu
History: 2022-05-16: received
Short URL: https://ia.cr/2022/575
License: CC BY

BibTeX

@misc{cryptoeprint:2022/575,
      author = {Charles Gouert and Rishi Khan and Nektarios Georgios Tsoutsos},
      title = {Optimizing Homomorphic Encryption Parameters for Arbitrary Applications},
      howpublished = {Cryptology {ePrint} Archive, Paper 2022/575},
      year = {2022},
      url = {https://eprint.iacr.org/2022/575}
}