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Autonomous Cyber Deception

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Cover of 'Autonomous Cyber Deception'

Table of Contents

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    Book Overview
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    Chapter 1 Using Deep Learning to Generate Relational HoneyData
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    Chapter 2 Towards Intelligent Cyber Deception Systems
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    Chapter 3 Honeypot Deception Tactics
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    Chapter 4 Modeling and Analysis of Deception Games Based on Hypergame Theory
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    Chapter 5 Dynamic Bayesian Games for Adversarial and Defensive Cyber Deception
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    Chapter 6 CONCEAL: A Strategy Composition for Resilient Cyber Deception: Framework, Metrics, and Deployment
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    Chapter 7 NetShifter: A Comprehensive Multi-Dimensional Network Obfuscation and Deception Solution
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    Chapter 8 Deception-Enhanced Threat Sensing for Resilient Intrusion Detection
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    Chapter 9 HONEYSCOPE: IoT Device Protection with Deceptive Network Views
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    Chapter 10 gExtractor: Automated Extraction of Malware Deception Parameters for Autonomous Cyber Deception
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    Chapter 11 Malware Deception with Automatic Analysis and Generation of HoneyResource
Attention for Chapter 1: Using Deep Learning to Generate Relational HoneyData
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