
Intrusion Detection: A Machine Learning Approach
Imperial College Press
3rd Edition
Published on 4. January 2011
Book
Hardback
184 pages
978-1-84816-447-5 (ISBN)
Description
This important book 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.
More details
Series
Edition
3rd ed.
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 15 mm
Weight
426 gr
ISBN-13
978-1-84816-447-5 (9781848164475)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Author
Asia Univ, Taiwan & Univ Of Illinois At Chicago, Usa
Univ Of Illinois, Chicago, Usa
Content
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.