Abstract
Detecting collisions in the power consumption of a modern cryptographic engine is usually difficult due to small leakages and possible countermeasures. Wide collisions offer a much stronger leakage that significantly facilitates their detection. This is the first time wide collisions are exploited in a power analysis attack. In this work we introduce a collision detection method based on the detection of characteristic outliers. Detection results are compared to optimized subspace-based templates. We show that the outlier detection method, while not requiring a template building phase, is almost as effective in detecting collisions as the template-based approach. © 2012 Springer-Verlag.
Cite
CITATION STYLE
Ye, X., & Eisenbarth, T. (2012). Wide collisions in practice. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7341 LNCS, pp. 329–343). https://doi.org/10.1007/978-3-642-31284-7_20
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