Reinforcement Learning Approach for Cybersecurity Threat Detection
Traditional intrusion detection systems (IDS) struggle to detect evolving cyber threats due to their reliance on static signatures and fixed decision boundaries. Existing machine learning-based approaches partially address this limitation but often fail to generalize to zero-day attacks and lack adaptability in dynamic...