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    INTRUSION DETECTION
    A Machine Learning Approach

    by Zhenwei Yu (University of Illinois, Chicago, USA) & Jeffrey J P Tsai (Asia University, Taiwan & 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:
    • Attacks and Countermeasures in Computer Security
    • Machine Learning Methods
    • Intrusion Detection System
    • Techniques for Intrusion Detection
    • Adaptive Automatically Tuning Intrusion Detection System
    • System Prototype and Performance Evaluation
    • Attacks Against Wireless Sensor Network
    • Intrusion Detection System for Wireless Sensor Network
    • Conclusion and Future Research
     
    Readership: Academicians, researchers and graduate students in software engineering/programming; computer engineering, knowledge and system engineering.
     
     
    184pp    Pub. date: Jan 2011  
    ISBN:   978-1-84816-447-5
    1-84816-447-5
       US$75 / £47

     


    184pp    Pub. date: Jan 2011  
    ISBN:   978-1-84816-448-2(ebook)
    1-84816-448-3(ebook)
       US$98 / £65

     


     

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    Updated on 13 February 2012