TY  - BOOK
AU  - Maloof,Marcus A.
TI  - Machine learning and data mining for computer security: methods and applications 
SN  - 184628029X (cased)
U1  - 005.8 23
PY  - 2006///
CY  - London
PB  - Springer
KW  - Computer security
KW  - Machine learning
KW  - Data mining
N1  - 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
UR  - http://www.loc.gov/catdir/enhancements/fy0813/2005928487-t.html
ER  -