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.