(UPI) Chapter 18: Machine Learning in Cybersecurity

About this Course

In this chapter, machine learning techniques are applied to the cybersecurity domain with a focus on ransomware detection and classification, where a multi-tiered streaming analytics model leverages 24 static and dynamic traits to distinguish between various ransomware families and versions. Experimental evaluations demonstrate that the proposed hybrid machine learner outperforms state-of-the-art methods in accuracy, speed, and resource efficiency, addressing critical challenges such as family attribution, multi-descent fusion, and imbalanced datasets.