Differential power analysis enhancement with statistical preprocessing

  • Authors:
  • Victor Lomné;Amine Dehbaoui;Philippe Maurine;Lionel Torres;Michel Robert

  • Affiliations:
  • University Montpellier - CNRS, Montpellier, France;University Montpellier - CNRS, Montpellier, France;University Montpellier - CNRS, Montpellier, France;University Montpellier - CNRS, Montpellier, France;University Montpellier - CNRS, Montpellier, France

  • Venue:
  • Proceedings of the Conference on Design, Automation and Test in Europe
  • Year:
  • 2010

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Abstract

Differential Power Analysis (DPA) is a powerful Side-Channel Attack (SCA) targeting as well symmetric as asymmetric ciphers. Its principle is based on a statistical treatment of power consumption measurements monitored on an Integrated Circuit (IC) computing cryptographic operations. A lot of works have proposed improvements of the attack, but no one focuses on ordering measurements. Our proposal consists in a statistical preprocessing which ranks measurements in a statistically optimized order to accelerate DPA and reduce the number of required measurements to disclose the key.