International Association for Cryptologic Research
Side-channel information leaked during the execution of cryptographic modules usually contains various noises. Normally, these noises have negative effects on the performance of side-channel attacks exploiting noisy leakages. Therefore, to reduce noise in leakages usually serves to be an effective approach to enhance the performance of side-channel attacks. However, most existing noise reduction methods treat all noises as a whole, instead of identifying and dealing with each of them individually. Motivated by this, this paper investigates the feasibility and implications of identifying trend noise from any other noises in side-channel acquisitions and then dealing with it accordingly.