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CrISA-X: Unleashing Performance Excellence in Lightweight Symmetric Cryptography for Extendable and Deeply Embedded Processors

Authors :
Oren Ganon
Itamar Levi
Source :
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2024, Iss 3 (2024)
Publication Year :
2024
Publisher :
Ruhr-Universität Bochum, 2024.

Abstract

The efficient execution of a Lightweight Cryptography (LWC) algorithm is essential for edge computing platforms. Dedicated Instruction Set Extensions (ISEs) are often included for this purpose. We propose the CrISA-X-a Cryptography Instruction Set Architecture eXtensions designed to improve cryptographic latency on extendable processors. CrISA-X, provides enhanced speed of various algorithms simultaneously while optimizing ISA adaptability, a feat yet to be accomplished. The extension, diverse for several computation levels, is first tailored explicitly for individual algorithms and sets of LWC algorithms, depending on performance, frequency, and area trade-offs. By diligently applying the Min-Max optimization technique, we have configured these extensions to achieve a delicate balance between performance, area utilization, code size, etc. Our study presents empirical evidence of the performance enhancement achieved on a synthesis modular RISC processor. We offer a framework for creating optimized processor hardware and ISA extensions. The CrISA-X outperforms ISA extensions by delivering significant performance boosts between 3x to 17x while experiencing a relative area cost increase of +12% and +47% in LUTs. Notably, as one important example, the utilization of the ASCON algorithm yields a 10x performance boost in contrast to the base ISA instruction implementation.

Details

Language :
English
ISSN :
25692925
Volume :
2024
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Transactions on Cryptographic Hardware and Embedded Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.72da69c2e5ad4a9cbf28c24c7df37063
Document Type :
article
Full Text :
https://doi.org/10.46586/tches.v2024.i3.377-417