Cache-Based Side-Channel Attacks Detection through Intel Cache Monitoring Technology and Hardware Performance Counters

Abstract : Research on cache-based side-channel attacks shows the security impact of these attacks on cloud computing. Therefore , the detection of cache-based side-channel attacks has received more attention in IaaS cloud infrastructures because of improvements in the attack techniques. However, such detection requires high resolution information, and it is also a challenging task because of the fine-granularity of the attacks. In this paper, we present an approach to detect cross-VM cache-based side-channel attacks through using hardware fine-grained information provided by Intel Cache Monitoring Technology (CMT) and Hardware Performance Counters (HPCs) following the Gaussian anomaly detection method. The approach shows a high detection rate with 2% performance overhead on the computing platform.
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Communication dans un congrès
FMEC 2018 - Third IEEE International Conference on Fog and Mobile Edge Computing, Apr 2018, Barcelona, Spain. IEEE, pp.1-6, 〈10.1109/FMEC.2018.8364038〉
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https://hal.inria.fr/hal-01762803
Contributeur : Mohammad Mahdi Bazm <>
Soumis le : vendredi 14 septembre 2018 - 11:36:21
Dernière modification le : mardi 18 septembre 2018 - 09:55:16

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Mohammad-Mahdi Bazm, Thibaut Sautereau, Marc Lacoste, Mario Südholt, Jean-Marc Menaud. Cache-Based Side-Channel Attacks Detection through Intel Cache Monitoring Technology and Hardware Performance Counters. FMEC 2018 - Third IEEE International Conference on Fog and Mobile Edge Computing, Apr 2018, Barcelona, Spain. IEEE, pp.1-6, 〈10.1109/FMEC.2018.8364038〉. 〈hal-01762803v2〉

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