Correlation Power Analysis and Protected Implementation on Block Cipher RainDrop

Zhixuan Gao, Shuang Wang, Yaoling Ding, An Wang*, Qingjun Yuan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

RainDrop is a lightweight block cipher algorithm proposed in 2019. Even though RainDrop proved to be resistant to classical cipher analysis such as differential analysis and liner analysis, little effort has been made to assess its implementation security of side-channel analysis. In this paper, we first give correlation power analysis on RainDrop and a method to recover the main key by using the round key. And we validate their effect via experiments. Then, we propose a masking scheme against correlation power analysis for RainDrop. The experiment result shows that the protected RainDrop only costs 1.1%, 20.8%, 136.8% of extra time, code and RAM.

Original languageEnglish
Title of host publicationFrontiers in Cyber Security - 4th International Conference, FCS 2021, Revised Selected Papers
EditorsChunjie Cao, Yuqing Zhang, Yuan Hong, Ding Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages308-323
Number of pages16
ISBN (Print)9789811905223
DOIs
Publication statusPublished - 2022
Event4th International Conference on Frontiers in Cyber Security, FCS 2021 - Haikou, China
Duration: 17 Dec 202119 Dec 2021

Publication series

NameCommunications in Computer and Information Science
Volume1558 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference4th International Conference on Frontiers in Cyber Security, FCS 2021
Country/TerritoryChina
CityHaikou
Period17/12/2119/12/21

Keywords

  • Correlation power analysis
  • Lightweight block cipher algorithm
  • Mask
  • RainDrop
  • Side-channel analysis

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