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Machine learning and data mining for computer security : methods and applications / edited by Marcus A. Maloof

Contributor(s): Series: Advanced information and knowledge processingPublication details: London : Springer, c2006.Description: xvi, 210 p. : ill. ; 24 cmISBN:
  • 184628029X (cased)
  • 9781846280290
Subject(s): DDC classification:
  • 23 005.8 MAC
Online resources:
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Closed Access Book Closed Access Engineering Library 005.8 MAC 1 (Browse shelf(Opens below)) 1 Available BUML24010415

CONTENTS

Introduction.-

PART I: SURVEY CONTRIBUTIONS
An Introduction to Information Assurance
Some Basic Concepts of Machine Learning and Data Mining.-

PART II: RESEARCH CONTRIBUTIONS
Learning to Detect Malicious Executables.-
Data Mining Applied to Intrusion Detection: MITRE Experiences.-
Intrusion Detection Alarm Clustering.-
Behavioural Features for Network Anomaly Detection.-
Cost-sensitive Modeling for Intrusion Detection.-
Data Cleaning and Enriched Representations for Anomaly Detection in System Calls.-
A Decision-Theoretic, Semi-supervised Model for Intrusion Detection.

Includes bibliographical references (p. [179]-198) and index P. 199-210

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