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Hardware Performance Counters Enhance Malware Detection with Machine Learning

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel method for malware detection that leverages Hardware Performance Counters (HPCs) and machine learning classifiers. This approach aims to enhance system security by analyzing low-level performance features collected from a processor during application runtime. By employing ensemble learning techniques, the system can achieve high detection accuracy with a reduced number of HPCs, outperforming standard classifiers that require significantly more data. AI

IMPACT This research could lead to more efficient and effective real-time malware detection systems, potentially reducing reliance on traditional antivirus software.

RANK_REASON The cluster contains a research paper detailing a new method for malware detection using hardware performance counters and machine learning. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Hardware Performance Counters Enhance Malware Detection with Machine Learning

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The cluster contains a research paper detailing a new method for malware detection using hardware performance counters and machine learning. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Alireza Abolhasani Zeraatkar, Parnian Shabani Kamran, Inderpreet Kaur, Nagabindu Ramu, Tyler Sheaves, Hussain Al-Asaad ·

    On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

    arXiv:2608.02671v1 Announce Type: cross Abstract: 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…

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