Analysis and Prediction of Cyber-Threat Fragments in Banking Critical Infrastructure Sector
Continued digitization has seen the banking sector which is positioned as a national critical infrastructure face an ever-growing number of cyber-threats. This, has necessitated the need for proactive measures for detection and prevention, owing to an expanded threat landscape. This thesis proposes an approach centered on leveraging data analysis and Machine Learning (ML) to analyze and predict th
