Real-Time Detection for Cache Side Channel Attack using Performance Counter Monitor

Author:

Cho JonghyeonORCID,Kim Taehun,Kim Soojin,Im Miok,Kim Taehyun,Shin Youngjoo

Abstract

Cache side channel attacks extract secret information by monitoring the cache behavior of a victim. Normally, this attack targets an L3 cache, which is shared between a spy and a victim. Hence, a spy can obtain secret information without alerting the victim. To resist this attack, many detection techniques have been proposed. However, these approaches have limitations as they do not operate in real time. This article proposes a real-time detection method against cache side channel attacks. The proposed technique performs the detection of cache side channel attacks immediately after observing a variation of the CPU counters. For this, Intel PCM (Performance Counter Monitor) and machine learning algorithms are used to measure the value of the CPU counters. Throughout the experiment, several PCM counters recorded changes during the attack. From these observations, a detecting program was implemented by using these counters. The experimental results show that the proposed detection technique displays good performance for real-time detection in various environments.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference18 articles.

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SoK: Can We Really Detect Cache Side-Channel Attacks by Monitoring Performance Counters?;Proceedings of the 19th ACM Asia Conference on Computer and Communications Security;2024-07

2. Space-Hard Obfuscation Against Shared Cache Attacks and its Application in Securing ECDSA for Cloud-Based Blockchains;IEEE Transactions on Cloud Computing;2024-04

3. Statistical Profiling of Micro-Architectural Traces and Machine Learning for Spectre Detection: A Systematic Evaluation;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

4. Cache Side-Channel Attacks Detection for AES Encryption Based on Machine Learning;Lecture Notes in Computer Science;2024

5. Exploit Detection and Mitigation Technique of Cache Side-Channel Attacks using Artificial Intelligence;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

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