## CryptoDB

### Paper: Fast Leakage Assessment

Authors: Oscar Reparaz Benedikt Gierlichs Ingrid Verbauwhede DOI: 10.1007/978-3-319-66787-4_19 Search ePrint Search Google CHES 2017 We describe a fast technique for performing the computationally heavy part of leakage assessment, in any statistical moment (or other property) of the leakage samples distributions. The proposed technique outperforms by orders of magnitude the approach presented at CHES 2015 by Schneider and Moradi. We can carry out evaluations that before took 90 CPU-days in 4 CPU-hours (about a 500-fold speed-up). As a bonus, we can work with exact arithmetic, we can apply kernel-based density estimation methods, we can employ arbitrary pre-processing functions such as absolute value to power traces, and we can perform information-theoretic leakage assessment. Our trick is simple and elegant, and lends itself to an easy and compact implementation. We fit a prototype implementation in about 130 lines of C code.
##### BibTeX
@inproceedings{ches-2017-28926,
title={Fast Leakage Assessment},
booktitle={Cryptographic Hardware and Embedded Systems – CHES 2017},
series={Lecture Notes in Computer Science},
publisher={Springer},
volume={10529},
pages={387-399},
doi={10.1007/978-3-319-66787-4_19},
author={Oscar Reparaz and Benedikt Gierlichs and Ingrid Verbauwhede},
year=2017
}