• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Optimized Deep Learning for Network Intrusion Detection

Optimized Deep Learning for Network Intrusion Detection

Paperback

Networking

ISBN10: 6208440211
ISBN13: 9786208440213
Publisher: LAP Lambert Academic Publishing
Published: Apr 8 2025
Pages: 208
Weight: 0.63
Height: 0.48 Width: 6.00 Depth: 9.00
Language: English
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.

Also in

Networking