English(EN) On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

硬件性能计数器通过机器学习增强恶意软件检测能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-05 04:00

研究人员开发了一种利用硬件性能计数器（HPCs）和机器学习分类器进行恶意软件检测的新方法。该方法旨在通过分析处理器在应用程序运行时收集的低级性能特征来增强系统安全性。通过采用集成学习技术，该系统可以用较少数量的HPCs实现高检测准确率，其性能优于需要显著更多数据的标准分类器。 AI

影响这项研究可能带来更高效、更有效的实时恶意软件检测系统，从而可能减少对传统杀毒软件的依赖。

排序理由该集群包含一篇研究论文，详细介绍了使用硬件性能计数器和机器学习进行恶意软件检测的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Alireza Abolhasani Zeraatkar, Parnian Shabani Kamran, Inderpreet Kaur, Nagabindu Ramu, Tyler Sheaves, Hussain Al-Asaad · 2026-08-05 04:00

关于使用硬件性能计数器的恶意软件检测分类器的性能

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…