A trace contains sample points, some of which contain useful information here that can be used to obtain a key in side-channel attacks.We used public datasets from the ANSSI SCA Database (ASCAD) as well as SM4 traces to learn whether a trace consisting of Points of Interest (POIs) have a positive effect using neural networks.Different methods were used on these datasets to choose POI or transform the traces into Principal Component Analysis (PCA) traces and click here forward-difference traces.The results show that two datasets are combined in different ways that improve the classification using neural networks.
For example, for the ANSSI SCA database, PCA is a better approach to compress a 700-dimensional trace into a 100-dimensional trace.For SM4 traces, the amount of traces required can be reduced in side-channel attacks subsequent to forward-difference transformation.