跳到主要导航 跳到搜索 跳到主要内容

Wavelet-based noise reduction in power analysis attack

  • Wei Liu
  • , Liji Wu
  • , Xiangmin Zhang
  • , An Wang
  • Tsinghua University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014
出版商Institute of Electrical and Electronics Engineers Inc.
405-409
页数5
ISBN(电子版)9781479974344
DOI
出版状态已出版 - 20 1月 2015
已对外发布
活动10th International Conference on Computational Intelligence and Security, CIS 2014 - Kunming, Yunnan, 中国
期限: 15 11月 201416 11月 2014

出版系列

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

会议

会议10th International Conference on Computational Intelligence and Security, CIS 2014
国家/地区中国
Kunming, Yunnan
时期15/11/1416/11/14

指纹

探究 'Wavelet-based noise reduction in power analysis attack' 的科研主题。它们共同构成独一无二的指纹。

引用此