ANN: New Book: Machine learning and data mining for computer security

Discussion in 'Computer Security' started by Mark Maloof, Feb 11, 2006.

  1. Mark Maloof

    Mark Maloof Guest

    Machine Learning and Data Mining for Computer Security
    Methods and Applications
    Series: Advanced Information and Knowledge Processing
    2006, XVI, 210 p. 23 illus., Hardcover
    ISBN: 1-84628-029-X
    Springer, London

    "Machine Learning and Data Mining for Computer Security" provides an
    overview of the current state of research in machine learning and data
    mining as it applies to problems in computer security. The first part
    surveys the data sources, the learning and mining methods, evaluation
    methodologies, and past work relevant for computer security. The
    second part consists of articles written by the top researchers working
    in this area. These articles deal with topics of host-based intrusion
    detection through the analysis of audit trails, of command sequences
    and of system calls as well as network intrusion detection through the
    analysis of TCP packets and the detection of malicious executables.


    * Foreword, Dorothy Denning

    * An Introduction to Information Assurance
    Clay Shields

    * Some Basic Concepts of Machine Learning and Data Mining
    Marcus A. Maloof

    * Learning to Detect Malicious Executables
    Jeremy Z. Kolter, Marcus A. Maloof

    * Data Mining Applied to Intrusion Detection: MITRE Experiences
    Eric E. Bloedorn, Lisa M. Talbot, David D. DeBarr

    * Intrusion Detection Alarm Clustering
    Klaus Julisch

    * Behavioral Features for Network Anomaly Detection
    James P. Early, Carla E. Brodley

    * Cost-Sensitive Modeling for Intrusion Detection
    Wenke Lee, Wei Fan, Salvatore J. Stolfo, Matthew Miller

    * Data Cleaning and Enriched Representations for Anomaly Detection
    in System Calls
    Gaurav Tandon, Philip Chan, Debasis Mitra

    * A Decision-Theoretic, Semi-Supervised Model for Intrusion Detection
    Terran Lane


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    Mark Maloof, Feb 11, 2006
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