Paper 2013/865
SNR to Success Rate: Reaching the Limit of Non-Profiling DPA
Suvadeep Hajra and Debdeep Mukhopadhyay
Abstract
Many profiling power analysis attacks estimate the multivariate probability distribution using a profiling step, and thus, can optimally combine the leakages of multiple sample points. Though there exist several approaches like filtering, Principal Component Analysis for combining the leakages of multiple sample points in non-profiling DPA, their optimality has been been rarely studied. We study the issue of optimally combining the leakages of multiple sample points in non-profiling DPA attacks using a linear function. In this work, our contributions are three-fold: 1) we first derive a relation between the success rate of a CPA attack and the SNR of the power traces, 2) we introduce a multivariate leakage model for Virtex-5 FPGA device, and 3) using the proposed multivariate leakage model, we devise linear filters to maximize the SNR of the output leakage which, in turn, optimizes the success rate of the CPA attacks in a non-profiling setup.
Metadata
- Available format(s)
-
PDF
- Publication info
- Preprint.
- Keywords
- DPACPAsuccess rateleakage modelmultivariate leakage modelSNRfilteringoptimal filtermultivariate DPAPCAFFT
- Contact author(s)
- suvadeep hajra @ gmail com
- History
- 2014-05-12: last of 2 revisions
- 2013-12-29: received
- See all versions
- Short URL
- https://ia.cr/2013/865
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2013/865,
author = {Suvadeep Hajra and Debdeep Mukhopadhyay},
title = {{SNR} to Success Rate: Reaching the Limit of Non-Profiling {DPA}},
howpublished = {Cryptology {ePrint} Archive, Paper 2013/865},
year = {2013},
url = {https://eprint.iacr.org/2013/865}
}
