Machine learning and data mining for computer security : methods and applications / edited by Marcus A. Maloof
Series: Advanced information and knowledge processingPublication details: London : Springer, c2006.Description: xvi, 210 p. : ill. ; 24 cmISBN:- 184628029X (cased)
- 9781846280290
- 23 005.8 MAC
Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
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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