Correlation Power Analysis and Protected Implementation on Lightweight Block Cipher FESH

Shijun Ding, An Wang, Shaofei Sun, Yaoling Ding, Xintian Hou, Dong Han

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

With the development of the Internet of Things (IoT), the demand for lightweight cipher came into being. At the same time, the security of lightweight cipher has attracted more and more attention. FESH algorithm is a lightweight cipher proposed in 2019. Relevant studies have proved that it has strong ability to resist differential attack and linear attack, but its research on resisting side-channel attack is still blank. In this paper, we first introduce a correlation power analysis for FESH algorithm and prove its effectiveness by experiments. Then we propose a mask scheme for FESH algorithm, and prove the security of the mask. According to the experimental results, protected FESH only costs 8.6%, 72.3%, 16.7% of extra time, code and RAM.

源语言英语
主期刊名Proceedings - 2022 IEEE 8th International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2022
出版商Institute of Electrical and Electronics Engineers Inc.
29-34
页数6
ISBN(电子版)9781665480697
DOI
出版状态已出版 - 2022
活动8th IEEE International Conference on Big Data Security on Cloud, 8th IEEE International Conference on High Performance and Smart Computing, and 8th IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2022 - Jinan, 中国
期限: 6 5月 20228 5月 2022

出版系列

姓名Proceedings - 2022 IEEE 8th International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2022

会议

会议8th IEEE International Conference on Big Data Security on Cloud, 8th IEEE International Conference on High Performance and Smart Computing, and 8th IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2022
国家/地区中国
Jinan
时期6/05/228/05/22

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