Convolutive Noise Filtering in Power Analysis on Smartcards Using the Cepstrum

The differential power analysis introduced by P.Kocher at first is one of most powerful cryptanalysis. The differential power analysis, one of the side-channel attacks, uses power consumption information when a crypto-system runs. Because the result of analysis depends on the power signals, reducing noises is very important. Generally some filters can reduce additive noises such as clock noise in the frequency domain, but convolutive noises are not eliminated. Thus we use cepstrum method to remove the convolutive noises, and we can get improved result.