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    INTRUSION DETECTION
    A Machine Learning Approach

    by Jeffrey J P Tsai (University of Illinois, Chicago, USA)

    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.

     
    Contents:
    • 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
     
    Readership: Academicians, researchers and graduate students in software engineering/programming; computer engineering, knowledge and system engineering.
     


     
    300pp (approx.)    Pub. date: Scheduled Fall 2010  
    ISBN:   978-1-84816-447-5
    1-84816-447-5
       US$98 / £74

     


     

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    Updated on 20 November 2009