Shape analysis for power signal cryptanalysis on secure components

  • Authors:
  • Frédérique Robert-Inacio;Alain Trémeau;Mike Fournigault;Yannick Teglia;Pierre-Yvan Liardet

  • Affiliations:
  • Institut Matériaux, Microélectronique et Nanosciences de Provence (IM2NP) UMR CNRS 6242, France and ISEN Toulon, Place Pompidou, F-83000 Toulon, France;Laboratoire Hubert Curien UMR CNRS 5516, 18 Rue du Professeur Benoít Lauras, F-42000 Saint-Etienne, France;Institut Matériaux, Microélectronique et Nanosciences de Provence (IM2NP) UMR CNRS 6242, France;ST Microelectronics, 77 Avenue O. Perroy, F-13790 Rousset, France;ST Microelectronics, 77 Avenue O. Perroy, F-13790 Rousset, France

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2011

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Abstract

Abstract: This paper presents an application of pattern recognition techniques in reverse engineering for smart cards. The aim of the study is to design algorithms based on shape classification and to determine instructions executed on a chip as well as processed data sets. Information is extracted from the power consumption in order to recover secret information. Then geometrical features are determined and a syntactic analysis is achieved in order to recover secret algorithms and data. Some examples are given showing how code execution can be reversed on a recent secure component. These examples are essentially focused on instruction recovery but the algorithms also work on data recovery or on a combination of both instruction and data recovery.