加快嵌入式系统NTRU算法的发展

Eros Camacho-Ruiz, M. Martínez-Rodríguez, S. Sánchez-Solano, Piedad Brox Jiménez
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引用次数: 2

摘要

量子计算机的出现对当前的公钥密码系统构成了严重威胁。为了解决这个问题,人们正在开发所谓的后量子(PQ)加密解决方案,其中许多解决方案已提交给NIST发起的竞赛,以评估PQ加密的标准化和部署建议。本文讨论了NTRU PQ密码算法在嵌入式系统上的实现。使用基于python的开发框架来加速设计过程,NTRU的纯软件和混合(HW/SW)实现在芯片系统(SoC)上的运行速度和资源消耗方面进行了评估。结果表明,关键操作的硬件实现与Python+C编程相结合,可以使性能提高130到450不等,具体取决于所选择的使用算法的场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerating the Development of NTRU Algorithm on Embedded Systems
The advent of quantum computers represents a serious threat to current public key cryptosystems. To face this problem the so-called Post-Quantum (PQ) cryptographic solutions are being developed, many of which have been presented to the competition launched by NIST to evaluate proposals of PQ cryptography for standardization and deployment. This paper addresses the implementation of the NTRU PQ cryptographic algorithm on embedded systems. Using a Python-based development framework to accelerate the design process, software-only and hybrid (HW/SW) implementations of NTRU are evaluated in terms of operation speed and resource consumption on a System-on-Chip (SoC). Results show that hardware implementation of critical operations in conjuction with a Python+C programming allows an increase in performance that ranges from 130 to 450 depending on the selected scenario to use the algorithm.
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