U. Hemavathi

AI Powered Intrusion Detection Systems: Revolutionizing Cybersecurity Through Deep Learning and Anomaly Detection

This study examines the application of artificial intelligence-powered intrusion detection systems that leverage deep learning architectures and anomaly detection methodologies to identify malicious activities within dynamic network environments and concludes that the convergence of deep learning methodologies and anomaly detection techniques provides a robust foundation for next-generation intrusion detection systems.