On the Performance of Malware Detection Classifiers Using Hardware Performance Counters
Malware detection using Hardware Performance Counters (HPC) has emerged as a promising solution to improve the security of computing systems as a complement to antivirus software. Hardware-based malware detectors (HMD) use Machine Learning (ML) classifiers to detect malicious application patterns. The inputs to ML classifiers are low-level performance features known as HPCs, hardware-related activity data collected from a processor at run time to profile the low-level microarchitectural behavior of an application. This paper proposes malware detection using HPCs and machine learning classifiers and highlights the effectiveness of malware detection at run-time. We use ensemble learning tec...
| Authors | Alireza Abolhasani Zeraatkar, Parnian Shabani Kamran, Inderpreet Kaur et al. |
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| Primary category | cs.CR |
| Published | 2 August 2026 |
| Last updated at source | 2 August 2026 |
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