An Adaptive Machine Learning Approach for Network Intrusion Detection
The increasing complexity and frequency of cyberattacks have heightened the need for intrusion detection systems capable of recognizing threats that extend beyond predefined signatures. Traditional signature-based IDS solutions are often insufficient for detecting newly emerging or evolving attack patterns. This work p...