A.K. Ashfauk Ahamed

AN ENHANCED SYSTEM FOR DETECTION OF DENIAL OF SERVICE ATTACKS IN DISTRIBUTED SYSTEMS USING DEEP LEARNING

An enhanced detection framework leveraging deep learning architectures, specifically combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to analyze network traffic patterns, is introduced, demonstrating remarkable capability in identifying zero-day attack variants while maintaining minimal false positive rates.