Advancements of Machine Learning in Malware and Intrusion Detections
Valentin Gazeau, Khushi Gupta, Min Kyung An · 2024
Machine learning techniques have become essential tools in the ongoing battle against cyber threats, with a particular focus on malware and intrusion detection. This paper provides an in-depth analysis of the progress made in applying machine learning methods in these domains, presenting a thorough exami-nation of artificial intelligence's role in cybersecurity. Specifically, it delves into the utilization of AI and ML algorithms for detecting malware and securing web systems against intrusions. Moreover, the paper evaluates the current landscape of AI-driven cybersecurity, highlighting existing techniques, their efficacy, and promising avenues for future research in this dynamic field.