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Machine Learning in Cyber Trust

Overview of attention for book
Cover of 'Machine Learning in Cyber Trust'

Table of Contents

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    Book Overview
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    Chapter 1 Cyber-Physical Systems: A New Frontier
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    Chapter 2 Misleading Learners: Co-opting Your Spam Filter
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    Chapter 3 Survey of Machine Learning Methods for Database Security
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    Chapter 4 Identifying Threats Using Graph-based Anomaly Detection
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    Chapter 5 On the Performance of Online Learning Methods for Detecting Malicious Executables
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    Chapter 6 Efficient Mining and Detection of Sequential Intrusion Patterns for Network Intrusion Detection Systems
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    Chapter 7 A Non-Intrusive Approach to Enhance Legacy Embedded Control Systems with Cyber Protection Features
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    Chapter 8 Image Encryption and Chaotic Cellular Neural Network
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    Chapter 9 From Data Privacy to Location Privacy
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    Chapter 10 Privacy Preserving Nearest Neighbor Search
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    Chapter 11 High-Confidence Compositional Reliability Assessment of SOA-Based Systems Using Machine Learning Techniques
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    Chapter 12 Model, Properties, and Applications of Context-Aware Web Services
Attention for Chapter 6: Efficient Mining and Detection of Sequential Intrusion Patterns for Network Intrusion Detection Systems
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