POSTER: A novel wavelet denoising method based on robust principal component analysis in side channel attacks

Abstract

In the context of side channel attacks (SCA), multiple preprocessing methods proposed are used to improve the quality of measurements and enhance the attack performance. Different from existing preprocessing methods which accord to the spectral distribution of noise or depend on some objective functions to search optimal linear transform, we treat noise as an ensemble and separate it by discrete wavelet transform and robust principal component analysis (RPCA) blindly. All experiments show that the proposed method has a great impact on the noise reduction of a typical hardware implementation of AES when comparing to some existing methods.