基于小波包的AES相关功耗分析攻击

Correlation Power Analysis Attack for AES Based on Wavelet Packet

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。

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.