New Method Enhances Intrusion Detection System Adaptability
Recent research introduces the Strategic Sample Selection and Forgetting (SSF) approach, a continual learning method aimed at enhancing Intrusion Detection Systems (IDS) by effectively utilizing previously labeled samples to adapt to new data while maintaining detection accuracy.