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Machine Learning and Data Mining for Computer Security

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Cover of 'Machine Learning and Data Mining for Computer Security'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 An Introduction to Information Assurance
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    Chapter 3 Some Basic Concept of Machine Learning and Data Mining
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    Chapter 4 Learning to Detect Malicious Executables
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    Chapter 5 Data Mining Applied to Intrusion Detection: MITRE Experiences
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    Chapter 6 Intrusion Detection Alarm Clustering
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    Chapter 7 Behavioral Features for Network Anomaly Detection
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    Chapter 8 Cost-Sensitive Modeling for Intrusion Detection
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    Chapter 9 Data Cleaning and Enriched Representations for Anomaly Detection in System Calls
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    Chapter 10 A Decision-Theoritic, Semi-Supervised Model for Intrusion Detection
Attention for Chapter 5: Data Mining Applied to Intrusion Detection: MITRE Experiences
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