Deep Federated Learning for Intelligent DDoS Intrusion Detection (Paperback)

Language: English

Published by LAP Lambert Academic Publishing, 2026

6630199413 / 9786630199413

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Paperback. The rapid growth of fog-edge computing has introduced new cybersecurity challenges, particularly the increasing threat of Distributed Denial-of-Service (DDoS) attacks. Traditional intrusion detection systems often struggle to provide accurate, scalable, and privacy-preserving solutions in decentralized environments. This book presents a deep federated learning framework that enables collaborative model training without sharing sensitive data, ensuring enhanced privacy and robust threat detection. It explores the integration of deep learning techniques with federated learning to identify DDoS attacks efficiently across distributed fog-edge networks. The proposed framework emphasizes intelligent intrusion detection, improved detection accuracy, reduced communication overhead, and secure distributed learning. This book is intended for researchers, postgraduate students, cybersecurity professionals, and practitioners interested in artificial intelligence, network security, federated learning, and fog-edge computing, providing valuable insights into next-generation AI-driven cybersecurity solutions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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Bibliographic details

Title
Deep Federated Learning for Intelligent DDoS Intrusion Detection (Paperback)
Author
Manoranjitham S.
Publisher
LAP Lambert Academic Publishing
Publication year
2026
Condition
new
Binding
Paperback
Language
English
ISBN 10
6630199413
ISBN 13
9786630199413

CitiRetail

Stevenage, United Kingdom

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AbeBooks seller since June 29, 2022

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