Optimized Deep Learning for Network Intrusion Detection
| AUTHOR | Deore, Bhushan |
| PUBLISHER | LAP Lambert Academic Publishing (04/08/2025) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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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Product Format
Product Details
ISBN-13:
9786208440213
ISBN-10:
6208440211
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
208
Carton Quantity:
34
Product Dimensions:
6.00 x 0.48 x 9.00 inches
Weight:
0.63 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Networking - General
Descriptions, Reviews, Etc.
publisher marketing
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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Your Price
$106.88