Optimized Deep Learning for Network Intrusion Detection - Deore, Bhushan
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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.

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Produktbeschreibung
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.
Autorenporträt
Dr. Bhushan S. Deore is currently working as an Assistant Professor in the Department of Electronics and Communication at Ramrao Adik Institute of Technology, D. Y. Patil deemed to be university, Navi Mumbai, India. He completed his Ph.D. in electrical engineering (Network Security) from VJTI, Mumbai.