The Cognition Is Not Enough: Another Look on Existing Interesting Points Chosen Methods

For classical template attacks, many papers suggested a guideline of choosing interesting points which is still not proven. Up to now, many different methods of choosing interesting points were introduced. However, it is still unclear that which approach will lead to the best classification performance for template attacks. We comprehensively evaluate and compare the classification performance of template attacks when using different methods of choosing interesting points. Evaluation results show that the Correlation power analysis based method and the Sum of squared pairwise t-differences based method will lead to the best classification performance. We find that some methods of choosing interesting points provide the same results in the same circumstance. Finally, we correctly prove the guideline of choosing interesting points is correct by presenting a new way of conducting template attacks.