Cryptology ePrint Archive: Report 2014/409

Moments-Correlating DPA

Amir Moradi and Fran├žois-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.

Category / Keywords: implementation

Original Publication (in the same form): Theory of Implementations workshop, 2016.

Date: received 2 Jun 2014, last revised 23 Sep 2016

Contact author: fstandae at uclouvain be

Available format(s): PDF | BibTeX Citation

Version: 20160923:105247 (All versions of this report)

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