You are looking at a specific version 20140604:150034 of this paper. See the latest version.

Paper 2014/409

Moments-Correlating DPA

Amir Moradi and François-Xavier Standaert

Abstract

We generalize correlation-enhanced power analysis collision attacks into moments-correlating DPA. The resulting distinguisher is applicable to the profiled and non-profiled (collision) settings and is able to exploit information lying in any statistical moment. It also benefits from a simple rule-of-thumb to estimate its data complexity. Experimental results show that such a tool allows answering with confidence to some important questions regarding the design of side-channel countermeasures (e.g. what is the most informative statistical moment in the leakages of a threshold implementation). We further argue that moments-correlating DPA is a natural candidate for leakage detection tests, enjoying the simplicity of correlation power analysis and advanced features for the evaluation of higher-order attacks with an easy-to-compute confidence level.

Metadata
Available format(s)
PDF
Category
Implementation
Publication info
Preprint. MINOR revision.
Contact author(s)
fstandae @ uclouvain be
History
2016-09-23: revised
2014-06-04: received
See all versions
Short URL
https://ia.cr/2014/409
License
Creative Commons Attribution
CC BY
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.