Enhanced Side Channel Template Attack with Correlation Analysis
Guo Shize, Deng Gaoming, Jin Cao, Bing Chen · 2011
In order to improve the accuracy and efficiency of side channel template attack, interesting points should be selected from side channel leakage traces. A new method combined with correlation analysis is proposed to select interesting points. In this method, a correlation coefficients vector is calculated to reflect secret key dependence of side channel leakage, and the index of the bigger elements in the correlation coefficients vector is selected as the references of interesting points in side channel traces. The experiments showed that the correct ratio of template match with the correlation analysis interesting points select method and PCA method were both higher than that with the sum of absolute average differences method, and the time needed by correlation analysis was about only 50% of that needed by PCA.