Reliable Malware Analysis and Detection using Topology Data Analysis. (arXiv:2211.01535v1 [cs.CR])

Increasingly, malwares are becoming complex and they are spreading on
networks targeting different infrastructures and personal-end devices to
collect, modify, and destroy victim information. Malware behaviors are
polymorphic, metamorphic, persistent, able to hide to bypass detectors and
adapt to new environments, and even leverage machine learning techniques to
better damage targets. Thus, it makes them difficult to analyze and detect with
traditional endpoint detection and response, intrusion detection and prevention
systems. To defend against malwares, recent work has proposed different …

analysis data data analysis detection malware malware analysis