基于 GHM 多小波算法的功耗分析攻击.

In power analysis,key acquisition for power analysis was based on the collected power signal,and one of the most important factors impacting the success rate of key analysis was the signal to noise ratio of real power consumption. So the noise could be effectively removed was the key to improve the success rate of power analysis. To solve this problem,this paper introduced the preprocessing method based on GHM multiwavelet. This method was to denoise power traced by GHM multiwavelet thresholding,with an aim to remove irrelevant noise from the power traces as far as possible,and raise the signal to noise ratio of real signal in the power traces. It collected power traces of AES algorithm in MEGA16 micro controller hardware platform for the same key with different plaintexts and performed correlation power analysis with original power traces and the denoised power traces. Experimental results show that the power traces required for correlation power analysis performed with the denoised power traces is reduced by 89. 5%,and the correlation coefficient is raised by 107. 9% on average. This verifies the effectiveness of the new method. [ABSTRACT FROM AUTHOR]