Software and hardware co-design of lightweight authenticated ciphers ASCON for the internet of things

Jing WANG; Lesheng HE; Zhonghong LI; Luchi LI; Hang YANG

doi:10.11959/j.issn.2096-3750.2022.00309

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Software and hardware co-design of lightweight authenticated ciphers ASCON for the internet of things

Theory and Technology | 更新时间：2024-08-16

- Software and hardware co-design of lightweight authenticated ciphers ASCON for the internet of things
- Chinese Journal on Internet of Things Vol. 6, Issue 4, Pages: 139-148(2022)
- 作者机构：
  
  1. 云南大学信息学院，云南昆明 650091
  2. 云南省高校物联网技术及应用重点实验室，云南昆明 650091
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2022.00309
  CLC： TN918.4
- Online First：2022-12，
  
  Published：30 December 2022
- 稿件说明：
移动端阅览
Jing WANG, Lesheng HE, Zhonghong LI, et al. Software and hardware co-design of lightweight authenticated ciphers ASCON for the internet of things[J]. Chinese Journal on Internet of Things, 2022, 6(4): 139-148.
DOI：

Jing WANG, Lesheng HE, Zhonghong LI, et al. Software and hardware co-design of lightweight authenticated ciphers ASCON for the internet of things[J]. Chinese Journal on Internet of Things, 2022, 6(4): 139-148. DOI： 10.11959/j.issn.2096-3750.2022.00309.

摘要

ASCON是2021年在NIST轻量级认证加密征集方案中最有希望成为国际标准的算法，该算法旨在物联网资源受限环境中获得最佳性能，在公开文献中还未见基于该算法的硬件IP核实现。提出了一种ASCON的软硬件协同实现方法，该方法通过S盒优化、先验计算和先进的流水线设计等硬件手段提升了ASCON在物联网安全认证应用中的速度，同时降低了内存占用。作为对比，在常见的物联网嵌入式处理器平台上软件移植了ASCON，结果显示所述方法的速度提升了7.9倍以上，而存储器的占用则降低了至少90%。所述方法可用于物联网安全专用集成电路或片上系统（SoC

system on a chip）的设计和实现。

Abstract

ASCON was the most promising algorithm to become an international standard in the 2021 NIST lightweight authenticated encryption call for proposals.The algorithm was designed to achieve the best performance in IoT resource-constrained environments

and there was no hardware IP core implementation based on this algorithm in the open literature.A software-hardware collaborative implementation method of ASCON was proposed

which improved the speed and reduced the memory footprint of ASCON in IoT security authentication applications through hardware means such as S-box optimization

prior calculation and advanced pipeline design.As a comparison

ASCON has been transplanted on the common IoT embedded processor platform.The results showed that the described method was more than 7.9 times faster

while the memory footprint was reduced by at least 90%.The schemes can be used for the design and implementation of IoT security application-specific integrated circuits or SoCs.

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Keywords

references

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