Deep Federated Learning for Intelligent DDoS Intrusion Detection

Language: English

Published by LAP LAMBERT Academic Publishing Jun 2026, 2026

6630199413 / 9786630199413

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This item is printed on demand - Print on Demand Titel. Neuware -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. 60 pp. Englisch.…

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Bibliographic details

Title
Deep Federated Learning for Intelligent DDoS Intrusion Detection
Author
Manoranjitham S
Publisher
LAP LAMBERT Academic Publishing Jun 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6630199413
ISBN 13
9786630199413
Item weight
107 grams
Dimensions
220x150x4 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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