SIKE in 32-bit ARM Processors Based on Redundant Number System for NIST Level-II

Author:

Seo Hwajeong1ORCID,Sanal Pakize2,Azarderakhsh Reza2

Affiliation:

1. College of IT Engineering at Hansung University, Seoul, Republic of Korea

2. Department of Computer, Electrical Engineering and Computer Science at Florida Atlantic University, Boca Raton, FL, USA

Abstract

We present an optimized implementation of the post-quantum Supersingular Isogeny Key Encapsulation (SIKE) for 32-bit ARMv7-A processors supporting NEON engine (i.e., SIMD instruction). Unlike previous SIKE implementations, finite field arithmetic is efficiently implemented in a redundant representation, which avoids carry propagation and pipeline stall. Furthermore, we adopted several state-of-the-art engineering techniques as well as hand-crafted assembly implementation for high performance. Optimized implementations are ported to Microsoft SIKE library written in “a non-redundant representation” and evaluated in high-end 32-bit ARMv7-A processors, such as ARM Cortex-A5, A7, and A15. A full key-exchange execution of SIKEp503 is performed in about 109 million cycles on ARM Cortex-A15 processors (i.e., 54.5 ms @2.0 GHz), which is about 1.58× faster than previous state-of-the-art work presented in CHES’18.

Funder

This work was supported by Institute for Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea governmen

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FPGA Implementation of Metaheuristic Optimization Algorithm;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2023-12

2. Generative Artificial Intelligence Preparedness and Technological Competence;International Journal of Education and Humanities;2023-11-06

3. SIKE on GPU: Accelerating Supersingular Isogeny-Based Key Encapsulation Mechanism on Graphic Processing Units;IEEE Access;2021

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