Intrusion Detection: A Machine Learning Approach - A Machine Learning Approach

Klappentext This important textbook introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. It emphasizes on the prediction and learning algorithms for intrusion detection and highlights techniques for intrusion detection of wired computer networks and wireless sensor networks. The performance comparison of various IDS via simulation will also be included. Zusammenfassung Introduces the concept of intrusion detection! discusses various approaches for intrusion detection systems (IDS)! and presents the architecture and implementation of IDS. This title also includes the performance comparison of various IDS via simulation. Inhaltsverzeichnis Intrusion Detection Model; Problem and Challenges; System Architecture; Labeling Tools; Detection Model; Predication Model and Learning Algorithm; Model Tuning Algorithm; Fuzzy IDS Systems; Dual-Adaptive Intrusion Detection Model; Intrusion Detection of Wireless Sensor Networks; Performance Evaluation.

Product details

• Authors: Jeffrey J P Tsai, Jeffrey J P (Asia Univ Tsai, Jeffrey J. P. Tsai, Jeffrey J. P. Yu Tsai, Jeffrey J.P. Tsai, Tsai Jeffrey J P, Zhenwei Yu, Zhenwei (Univ Of Illinois Yu, Zhenwei Yu & Jeffrey J P Tsai
• Publisher: Imperial College Press
• Languages: English
• Product format: Hardback
• Released: 04.01.2011
• EAN: 9781848164475
• ISBN: 978-1-84816-447-5
• No. of pages: 184
• Series: Series in Electrical and Computer Engineering; Electrical and Computer Engine
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks