Machine learning and data mining for computer security : methods and applications /
Machine learning and data mining for computer security : methods and applications /
edited by Marcus A. Maloof
- London : Springer, c2006.
- xvi, 210 p. : ill. ; 24 cm.
- Advanced information and knowledge processing .
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
184628029X (cased) 9781846280290
Computer security.
Machine learning.
Data mining.
005.8 / MAC
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
184628029X (cased) 9781846280290
Computer security.
Machine learning.
Data mining.
005.8 / MAC