Optimized Deep Learning for Network Intrusion Detection

This book targets young researchers exploring advanced network security techniques to counter evolving cyber threats. It presents innovative methods, including RNN-based cyber-attack detection and IDS with feature reduction. Additionally, it introduces optimization-driven deep learning models like DASO-Deep RNN, ADASO-Deep RNN, and Opt RCNN-LSTM for precise intrusion detection, ensuring high accuracy, sensitivity, and specificity.