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A comparative study of mutual information analysis under a Gaussian assumption

Moradi, A ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-642-10838-9_15
  3. Abstract:
  4. In CHES 2008 a generic side-channel distinguisher, Mutual Information, has been introduced to be independent of the relation between measurements and leakages as well as between leakages and data processed. Assuming a Gaussian model for the side-channel leakages, correlation power analysis (CPA) is capable of revealing the secrets efficiently. The goal of this paper is to compare mutual information analysis (MIA) and CPA when leakage of the target device fits into a Gaussian assumption. We first theoretically examine why MIA can reveal the correct key guess amongst other hypotheses, and then compare it with CPA proofs. As our theoretical comparison confirms and shown recently in ACNS 2009 and CHES 2009, the MIA is less effective than the CPA when there is a linear relation between leakages and predictions. Later, we show detailed practical comparison results of MIA and CPA, by means of several alternative parameters, under the same condition using leakage of a smart card as well as of an FPGA. © 2009 Springer-Verlag Berlin Heidelberg
  5. Keywords:
  6. Comparative studies ; Comparison result ; Distinguishers ; Gaussian assumption ; Gaussian model ; Linear relation ; Mutual informations ; Power analysis ; Side-channel ; Information analysis ; Network security ; Pulse amplifiers
  7. Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 25 August 2009 through 27 August 2009, Busan ; Volume 5932 LNCS , 2009 , Pages 193-205 ; 03029743 (ISSN) ; 3642108377 (ISBN)
  8. URL: https://link.springer.com/chapter/10.1007%2F978-3-642-10838-9_15