Publication detail

VHDL-based implementation of CRYSTALS-Kyber components on FPGA

JEDLIČKA, P. HAJNÝ, J.

Original Title

VHDL-based implementation of CRYSTALS-Kyber components on FPGA

Type

conference paper

Language

English

Original Abstract

CRYSTALS-Kyber is one of the finalists of the National Institute of Standards and Technology (NIST) post-quantum cryptography competition. In this paper, we deal with effective hardware-accelerated implementations of components intended for the use in the FPGA implementation of the above-mentioned lattice-based cryptography scheme. The discussed components are NTT, inverse NTT, CBD and the Parse Algorithm. The improved implementation of NTT (NTT-1) requires 1189 (1568) Look-Up Tables (LUTs), 1469 (2161) Flip-Flops (FFs), 28 (50) Digital Signal Processing blocks (DSPs) and 1.5 (1.5) Block Memories (BRAMs). The latency of the design is 322 (334) clock cycles at the frequency 637 MHz which makes the presented NTT (NTT-1) implementations to be currently the fastest ones. The implementations of the sampling functions (CBD and Parse) requires less than 100 LUTs and FFs with maximum latency 5 clock cycles at the frequencies over 700 Mhz. All implementations has been synthesized for the Xilinx Virtex UltraScale+ architecture.

Keywords

NTT, CBD, Parse, VHDL, FPGA, Kyber

Authors

JEDLIČKA, P.; HAJNÝ, J.

Released

26. 4. 2022

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-6030-0

Book

Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers

Edition

1st

Pages from

297

Pages to

301

Pages count

5

URL

BibTex

@inproceedings{BUT177748,
  author="Petr {Jedlička} and Jan {Hajný}",
  title="VHDL-based implementation of CRYSTALS-Kyber components on FPGA",
  booktitle="Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers",
  year="2022",
  series="1st",
  pages="297--301",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-6030-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v2.pdf"
}