Memory Carving in Embedded Devices: Separate the Wheat from the Chaff

Abstract : This paper investigates memory carving techniques for embedded devices. Given that cryptographic material in memory dumps makes carving techniques inefficient, we introduce a methodology to distinguish meaningful information from cryptographic material in smallsized memory dumps. The proposed methodology uses an adaptive boosting technique with statistical tests. Experimented on EMV cards, the methodology recognized 92% of meaningful information and 98% of cryptographic material.
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Communication dans un congrès
14th International Conference on Applied Cryptography and Network Security (ACNS 2016), Jun 2016, Guilford, United Kingdom. Applied Cryptography and Network Security 14th International Conference, ACNS 2016, Guildford, UK, June 19-22, 2016. Proceedings, 9696, 2016, Applied Cryptography and Network Security. 〈10.1007/978-3-319-39555-5_32〉
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Soumis le : vendredi 1 juillet 2016 - 15:34:53
Dernière modification le : mardi 26 septembre 2017 - 01:35:38

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Thomas Gougeon, Morgan Barbier, Patrick Lacharme, Gildas Avoine, Christophe Rosenberger. Memory Carving in Embedded Devices: Separate the Wheat from the Chaff. 14th International Conference on Applied Cryptography and Network Security (ACNS 2016), Jun 2016, Guilford, United Kingdom. Applied Cryptography and Network Security 14th International Conference, ACNS 2016, Guildford, UK, June 19-22, 2016. Proceedings, 9696, 2016, Applied Cryptography and Network Security. 〈10.1007/978-3-319-39555-5_32〉. 〈hal-01338109v2〉

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