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计算机工程

• 安全技术 • 上一篇    下一篇

基于小波包的AES相关功耗分析攻击

段晓毅,佘高健,高献伟,何斯曼,崔琦,王思翔,毛泽宇   

  1. (北京电子科技学院 电子信息工程系,北京 100070)
  • 收稿日期:2016-06-06 出版日期:2017-06-15 发布日期:2017-06-15
  • 作者简介:段晓毅(1979—),男,讲师、博士,主研方向为密码芯片安全;佘高健,硕士;高献伟,教授;何斯曼、崔琦、王思翔、毛泽宇,硕士。
  • 基金资助:
    北京市自然科学基金(4163076);北京电子科技学院基金(328201505,328201508)。

Correlation Power Analysis Attack for AES Based on Wavelet Packet

DUAN Xiaoyi,SHE Gaojian,GAO Xianwei,HE Siman,CUI Qi,WANG Sixiang,MAO Zeyu   

  1. (Department of Electronic Information Engineering,Beijing Electronic Science and Technology Institute,Beijing 100070,China)
  • Received:2016-06-06 Online:2017-06-15 Published:2017-06-15

摘要: 在相关功耗分析攻击中,功耗曲线噪声的存在会影响攻击结果的成功率。为此,运用小波包阈值进行去噪,提出一种功耗曲线预处理方法。利用小波包阈值法对功耗曲线进行去噪预处理,使用去噪后的功耗曲线执行相关功耗分析。实验结果表明,小波包阈值去噪能最大限度地去除功耗曲线中不相关的噪声,提高有用信号的信噪比,减少密钥分析所需数据和提高相关功耗分析的效率。

关键词: 相关功耗分析, 小波包变换, 阈值, 信噪比, 去噪

Abstract: In Correlation Power Analysis(CPA) attack,the existence of power curves noise affects the success rate of attack results.For this reason,this paper proposes a new method of power curve preprocessing using wavelet packet threshold.The wavelet packet threshold method is first used to denoise the power curves and then perform the correlation power analysis.Experimental results show that wavelet packet threshold denoising can remove irrelevant noise in the power curves,improve the Signal to Noise Ratio(SNR) of the useful signal,reduce the data needed for the key analysis and improve the efficiency of the CPA.

Key words: Correlation Power Analysis(CPA), wavelet packet transformation, threshold value, Signal to Noise Ratio(SNR), denoising

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