Hardware Optimizations of Fruit-80 Stream Cipher: Smaller than Grain

Author:

Yang Gangqiang1ORCID,Shi Zhengyuan1ORCID,Chen Cheng1ORCID,Xiong Hailiang1ORCID,Li Fudong2ORCID,Hu Honggang3ORCID,Wan Zhiguo4ORCID

Affiliation:

1. Shandong University, Shandong, China

2. University of Alberta, Edmonton, Alberta, Canada

3. University of Science and Technology of China, Anhui, China

4. Zhejiang Lab, Zhejiang, China

Abstract

Fruit-80, which emerged as an ultra-lightweight stream cipher with 80-bit secret key, is oriented toward resource-constrained devices in the Internet of Things. In this article, we propose area and speed optimization architectures of Fruit-80 on FPGAs. Our implementations include both serial and parallel structure and optimize area, power, speed, and throughput, respectively. The area optimization architecture aims to achieve the most suitable ratio of look-up-tables and flip-flops to fully utilize the reconfigurable unit. It also reuses NFSR and LFSR feedback functions to save resources for high throughput. The speed optimization architecture adopts a hybrid approach for parallelization and reduces the latency of long data paths by pre-generating primary feedback and inserting flip-flops. Besides, we recommend using the round key function to optimize serial or parallel implementations for Fruit-80 and using indexing and shifting methods for different throughput. In conclusion, our results show that the area optimization architecture occupies up to 35 slices on Xilinx Spartan-3 FPGA and 18 slices on Xilinx 7 series FPGA, smaller than that of Grain and other common stream ciphers. The optimal throughput/area ratio of the speed optimization architecture is 7.74 Mbps/slice, better than that of Grain v1, which is 5.98 Mbps/slice. The serial implementation of Fruit-80 with round key function occupies only 75 slices on Spartan-3 FPGA. To the best of our knowledge, the result sets a new record of the minimum area in lightweight cipher implementation on FPGA.

Funder

Major Basic Research Program of the Shandong Provincial Natural Science Foundation

Research Program of the Shandong Provincial Natural Science Foundation

National Natural Science Foundation of China

Open Fund of State Key Laboratory of Integrated Services Networks

Qingdao Science and Technology Program

Zhejiang Provincial Department of Science and Technology 2021 annual key R&D plan

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference50 articles.

1. Arijit Ukil, Soma Bandyopadhyay, and Arpan Pal. 2014. IoT-privacy: To be private or not to be private. In Proceedings of the 2014 IEEE INFOCOM Workshops (Toronto, ON, Canada, April 27 - May 2). IEEE, 123–124.

2. The Design of Rijndael

3. Andrey Bogdanov, Lars R. Knudsen, Gregor Leander, Christof Paar, Axel Poschmann, Matthew J. B. Robshaw, Yannick Seurin, and C. Vikkelsoe. 2007. PRESENT: An ultra-lightweight block cipher. In Proceedings of the 9th International Workshop on Cryptographic Hardware and Embedded Systems (CHES 2007). (Vienna, Austria, September 10-13, 2007), (Lecture Notes in Computer Science), Pascal Paillier and Ingrid Verbauwhede (Eds.), Vol. 4727. Springer, 450–466.

4. Deukjo Hong, Jaechul Sung, Seokhie Hong, Jongin Lim, Sangjin Lee, Bonseok Koo, Changhoon Lee, Donghoon Chang, Jesang Lee, Kitae Jeong, Hyun Kim, Jongsung Kim, and Seongtaek Chee. 2006. HIGHT: A new block cipher suitable for low-resource device. In Proceedings of the 8th International Workshop on Cryptographic Hardware and Embedded Systems. Cryptographic Hardware and Embedded Systems (CHES 2006), (Yokohama, Japan, October 10-13, 2006), (Lecture Notes in Computer Science), Louis Goubin and Mitsuru Matsui (Eds.), Vol. 4249. Springer, 46–59.

5. Ray Beaulieu, Douglas Shors, Jason Smith, Stefan Treatman-Clark, Bryan Weeks, and Louis Wingers. 2015. The SIMON and SPECK lightweight block ciphers. In Proceedings of the 52nd Annual Design Automation Conference(San Francisco, CA, June 7-11, 2015). ACM, 175:1–175:6.

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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3