Exploring the Advantages and Challenges of Fermat NTT in FHE Acceleration

Andrey Kim, Ahmet Can Mert, Anisha Mukherjee, Aikata Aikata, Maxim Deryabin, Sunmin Kwon, HyungChul Kang, Sujoy Sinha Roy

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Recognizing the importance of a fast and resource-efficient polynomial multiplication in homomorphic encryption, in this paper, we design a multiplier-less number theoretic transform using a Fermat number as an auxiliary modulus. To make this algorithm scalable with the degree of polynomial, we apply a univariate to multivariate polynomial ring transformation.
We develop an accelerator architecture for fully homomorphic encryption using these algorithmic techniques for efficient multivariate polynomial multiplication. For practical homomorphic encryption application benchmarks, the hardware accelerator achieves a 1,200x
speed-up compared to software implementations. Finally, we conclude the paper by discussing the advantages and limitations of the proposed polynomial multiplication method.
Original languageEnglish
Title of host publication44th Annual International Cryptology Conference - CRYPTO 2024
Number of pages32
DOIs
Publication statusAccepted/In press - 2024
Event44th Annual International Cryptology Conference: Crypto 2024 - Santa Barbara, United States
Duration: 18 Aug 202422 Aug 2024

Conference

Conference44th Annual International Cryptology Conference
Abbreviated titleCrypto 2024
Country/TerritoryUnited States
CitySanta Barbara
Period18/08/2422/08/24

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