ISBN-10:
1849965447
ISBN-13:
9781849965446
Pub. Date:
12/16/2011
Publisher:
Springer London
Machine Learning and Data Mining for Computer Security: Methods and Applications / Edition 1

Machine Learning and Data Mining for Computer Security: Methods and Applications / Edition 1

by Marcus A. Maloof

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Product Details

ISBN-13: 9781849965446
Publisher: Springer London
Publication date: 12/16/2011
Series: Advanced Information and Knowledge Processing
Edition description: 2006
Pages: 210
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Survey Contributions.- An Introduction to Information Assurance.- Some Basic Concept of Machine Learning and Data Mining.- Research Contributions.- Learning to Detect Malicious Executables.- Data Mining Applied to Intrusion Detection: MITRE Experiences.- Intrusion Detection Alarm Clustering.- Behavioral Features for Network Anomaly Detection.- Cost-Sensitive Modeling for Intrusion Detection.- Data Cleaning and Enriched Representations for Anomaly Detection in System Calls.- A Decision-Theoritic, Semi-Supervised Model for Intrusion Detection.

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