Wavelet-based noise reduction in power analysis attack

Wei Liu, Liji Wu, Xiangmin Zhang, An Wang

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

18 Citations (Scopus)

Abstract

Side-channel power analysis attacks have been proven to be the most powerful attacks on implementations of cryptographic primitives. DPA and CPA are probably the most wide-spread practical attacks on numerous embedded cryptographic systems. Additive noise is a kind of typical power analysis resistant implementing technique. The success rate of the DPA and CPA attacks is significantly affected by the Signal-to-Noise Ratio (SNR) of the power traces. Hence, it is important to eliminate noise effectively and improve the SNR for power attacks to extract the secret key. In this paper, a new method is proposed with wavelet analysis to reduce noise effects, which aims to improve the performance of side-channel power attacks named as WPA (Wavelet-based Power Attack). The key is successfully recovered on commercially available contact-less smart card based on 3DES, which is widely used for security-sensitive applications. Experimental results show that WPA significantly improves the success rate for encryption key detection. Compared to the fourth-order cumulant noise reduction method for power attack, the required number of the power traces is 50% less.

Original languageEnglish
Title of host publicationProceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages405-409
Number of pages5
ISBN (Electronic)9781479974344
DOIs
Publication statusPublished - 20 Jan 2015
Externally publishedYes
Event10th International Conference on Computational Intelligence and Security, CIS 2014 - Kunming, Yunnan, China
Duration: 15 Nov 201416 Nov 2014

Publication series

NameProceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014

Conference

Conference10th International Conference on Computational Intelligence and Security, CIS 2014
Country/TerritoryChina
CityKunming, Yunnan
Period15/11/1416/11/14

Keywords

  • 3DES
  • CPA
  • DPA
  • Noise reduction
  • Wavelet analysis

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