Differential Power Analysis Enhancement with Statistical Preprocessing

Résumé : 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.
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Communication dans un congrès
DATE: Design, Automation and Test in Europe, 2010, Dresden, Germany. pp.1301-1304, 2010, 〈10.1109/DATE.2010.5457007〉
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Dernière modification le : jeudi 11 janvier 2018 - 06:27:19
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Victor Lomné, Amine Dehbaoui, Philippe Maurine, Lionel Torres, Michel Robert. Differential Power Analysis Enhancement with Statistical Preprocessing. DATE: Design, Automation and Test in Europe, 2010, Dresden, Germany. pp.1301-1304, 2010, 〈10.1109/DATE.2010.5457007〉. 〈lirmm-00548738〉

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