High throughput acceleration of NIST lightweight authenticated encryption schemes on GPU platform

  • Chan, Jia-Lin
  • Lee, Wai-Kong
  • Wong, Denis C. -K.
  • Yap, Wun-She
  • Ooi, Boon-Yaik
  • 외 1명
Citations

WEB OF SCIENCE

1
Citations

SCOPUS

3

초록

Authenticated encryption with associated data (AEAD) has become prominent over time because it offers authenticity and confidentiality simultaneously. In 2018, the National Institute of Standards and Technology (NIST) initiated a competition to standardize lightweight AEAD and hash functions, with Ascon as the final winner among the 10 finalists. Numerous prior works evaluated their performance on FPGA and ASIC, but not on a parallel architecture like GPU, which is a common accelerator already found in many existing cloud servers. In this work, the first GPU implementation of the NIST AEAD finalists is proposed. Several GPU implementation techniques applicable to all AEAD schemes are presented, along with novel techniques for some specific schemes to enhance throughput performance. Experimental results show that all NIST AEAD finalists can achieve high throughput (up to 111.53M AEAD per second), approximately 142.19% and 72.65% improvement compared to unoptimized GPU version, and the investigated FPGA results respectively.

키워드

Graphic processing unitCUDALightweight authenticated encryptionAuthenticated encryption with associated dataAEADFRODOKEM
제목
High throughput acceleration of NIST lightweight authenticated encryption schemes on GPU platform
저자
Chan, Jia-LinLee, Wai-KongWong, Denis C. -K.Yap, Wun-SheOoi, Boon-YaikGoi, Bok-Min
DOI
10.1007/s10586-024-04463-x
발행일
2024-11
유형
Article
저널명
Cluster Computing
27
8
페이지
11213 ~ 11235