Wavelet de-noising method in the side-channel attack

The encrypted data in security chips will leaked by side-channel information such as running time, power consumption, electromagnetic signals. Which make it possible to side-channel attack. But the side-channel power consumption data used in the actual attack usually contains a lot of noise, which greatly reduces the success rate. In this paper, the wavelet de-noising research is based on power consumption data which come from the FPGA-based power consumption acquisition platform. By comparing the de-noising effect of different wavelets, different decomposition level and different threshold, a reliable wavelet de-noising method based on dynamic power consumption is founded. Using this method, we obtained a great de-noising effect.