期刊
IEEE DESIGN & TEST
卷 38, 期 3, 页码 39-50出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MDAT.2021.3063338
关键词
Malware; Feature extraction; Training; Machine learning; Semantics; Hardware; Monitoring; Malware Detection; Hardware Performance Counters; Machine Learning
The article revisits the literature on using hardware performance counters for malware detection, highlighting discrepancies and providing a retrospective of challenges for future research.
Editor's note: This article revisits the literature around the use of hardware performance counters for malware detection, highlighting discrepancies, and providing a retrospection of challenges for future research. -Rosario Cammarota, Intel Labs -Francesco Regazzoni, University of Amsterdam and Universita della Svizzera Italiana.
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