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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https://hal.inria.fr/hal-01762803
Contributor : Mohammad Mahdi Bazm <>
Submitted on : Tuesday, April 10, 2018 - 2:19:15 PM
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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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