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A survey on hardware-based malware detection approaches
April 19, 2024, 4:11 a.m. | Cristiano Pegoraro Chenet, Alessandro Savino, Stefano Di Carlo
cs.CR updates on arXiv.org arxiv.org
Abstract: This paper delves into the dynamic landscape of computer security, where malware poses a paramount threat. Our focus is a riveting exploration of the recent and promising hardware-based malware detection approaches. Leveraging hardware performance counters and machine learning prowess, hardware-based malware detection approaches bring forth compelling advantages such as real-time detection, resilience to code variations, minimal performance overhead, protection disablement fortitude, and cost-effectiveness. Navigating through a generic hardware-based detection framework, we meticulously analyze the approach, …
arxiv computer computer security cs.cr detection dynamic dynamic landscape exploration focus hardware machine machine learning malware malware detection paramount performance security survey threat
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