Analysis and Prediction of Cyber-Threats using Machine Learning algorithms
As digital transformation continues to expand, the threat landscape for cyber-attacks has become increasingly complex. Proactive detection and prevention of cyber-threats are essential to secure critical infrastructures. This thesis proposes an approach centered on leveraging data analysis and Machine Learning (ML) to analyze and predict the existence of potential cyber-threats. By harnessing the
