Machine Learning and Data Mining for Computer Security

1. Introduction
Marcus A. Maloof

Part I. Survey Contributions

2. An Introduction to Information Assurance
Clay Shields

3. Some Basic Concept of Machine Learning and Data Mining
Marcus A. Maloof

Part II. Research Contributions

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

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

6. Intrusion Detection Alarm Clustering
Klaus Julisch

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

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

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

10. A Decision-Theoritic, Semi-Supervised Model for Intrusion Detection
Terran Lane

DRM-restrictions

Printing: not available
Clipboard copying: not available

Keywords: COMPUTERS / Computer Science COM014000