Abstract
Correlation Power Analysis (CPA) is one of effective means of power analysis in side channel analysis. The noisy power traces can affect the power of CPA. It is significant to select the helpful power traces to improve the efficiency of analysis. In this paper, we present a new preprocessing method that is based on Improved Singular Value Decomposition (ISVD) for selecting the traces when using CPA to attack. The ISVD is a combination of SVD and Z-score. Experimental results show that our method is effective to improve the efficiency when analyzing both the unprotected implementation and the masked implementation.
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Sun, D., Zhou, X., Wang, Z., Ou, C., Huang, W., & Ai, J. (2015). POSTER: Using improved singular value decomposition to enhance correlation power analysis. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 164, pp. 598–601). Springer Verlag. https://doi.org/10.1007/978-3-319-28865-9_39
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