Malware

This PhD research project focuses on developing an adaptive intrusion detection system that leverages advanced machine learning algorithms to detect and mitigate emerging ransomware threats. By designing novel ML techniques capable of analysing large-scale datasets of ransomware samples and benign files, the project aims to create a highly accurate and responsive defence against rapidly evolving ransomware attacks.

It was the objective of this research to detect malware based on system properties using machine learning algorithms.