A survey on hardware-based malware detection approaches

arXiv:2303.12525v2 Announce Type: replace
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