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

Mohammad-Mahdi Bazm 1 Thibaut Sautereau 1 Marc Lacoste 1 Mario Südholt 2, 3, 4 Jean-Marc Menaud 2, 3, 4
1 Orange Labs
2 LS2N - Laboratoire des Sciences du Numérique de Nantes
3 IMT Atlantique - DAPI - Département Automatique, Productique et Informatique
4 STACK - Software Stack for Massively Geo-Distributed Infrastructures
Inria Rennes – Bretagne Atlantique , LS2N - Laboratoire des Sciences du Numérique de Nantes
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.
Keywords : isolation Intel cache monitoring technology hardware performance counters side-channel attacks detection cloud security
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Conference papers
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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 - The Third IEEE International Conference on Fog and Mobile Edge Computing, Apr 2018, Barcelona, Spain. pp.1-6. ⟨hal-01762803v1⟩

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