%0 Conference Proceedings
%T Towards More Practical Time-Driven Cache Attacks
%+ Graz University of Technology [Graz] (TU Graz)
%+ DGA Maîtrise de l'information (DGA.MI)
%A Spreitzer, Raphael
%A Gérard, Benoît
%Z Part 2: Cryptography and Cryptanalysis
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 8th IFIP International Workshop on Information Security Theory and Practice (WISTP)
%C Heraklion, Crete, Greece
%Y David Naccache
%Y Damien Sauveron
%I Springer
%3 Information Security Theory and Practice. Securing the Internet of Things
%V LNCS-8501
%P 24-39
%8 2014-06-30
%D 2014
%R 10.1007/978-3-662-43826-8_3
%K AES
%K ARM Cortex-A
%K key-chunk sizes
%K optimal key-enumeration algorithm
%K time-driven cache attack
%Z Computer Science [cs]Conference papers
%X Side-channel attacks are usually performed by employing the “divide-and-conquer” approach, meaning that leaking information is collected in a divide step, and later on exploited in the conquer step. The idea is to extract as much information as possible during the divide step, and to exploit the gathered information as efficiently as possible within the conquer step. Focusing on both of these steps, we discuss potential enhancements of Bernstein’s cache-timing attack against the Advanced Encryption Standard (AES). Concerning the divide part, we analyze the impact of attacking different key-chunk sizes, aiming at the extraction of more information from the overall encryption time. Furthermore, we analyze the most recent improvement of time-driven cache attacks, presented by Aly and ElGayyar, according to its applicability on ARM Cortex-A platforms. For the conquer part, we employ the optimal key-enumeration algorithm as proposed by Veyrat-Charvillon et al. to significantly reduce the complexity of the exhaustive key-search phase compared to the currently employed threshold-based approach. This in turn leads to more practical attacks. Additionally, we provide extensive experimental results of the proposed enhancements on two Android-based smartphones, namely a Google Nexus S and a Samsung Galaxy SII.
%G English
%Z TC 11
%Z WG 11.2
%2 https://inria.hal.science/hal-01400918/document
%2 https://inria.hal.science/hal-01400918/file/978-3-662-43826-8_3_Chapter.pdf
%L hal-01400918
%U https://inria.hal.science/hal-01400918
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC11
%~ IFIP-WISTP
%~ IFIP-WG11-2
%~ IFIP-LNCS-8501