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Deep Learning Applications for Cyber Security

Overview of attention for book
Cover of 'Deep Learning Applications for Cyber Security'

Table of Contents

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    Book Overview
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    Chapter 1 Adversarial Attack, Defense, and Applications with Deep Learning Frameworks
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    Chapter 2 Intelligent Situational-Awareness Architecture for Hybrid Emergency Power Systems in More Electric Aircraft
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    Chapter 3 Deep Learning in Person Re-identification for Cyber-Physical Surveillance Systems
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    Chapter 4 Deep Learning-Based Detection of Electricity Theft Cyber-Attacks in Smart Grid AMI Networks
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    Chapter 5 Using Convolutional Neural Networks for Classifying Malicious Network Traffic
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    Chapter 6 DBD: Deep Learning DGA-Based Botnet Detection
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    Chapter 7 Enhanced Domain Generating Algorithm Detection Based on Deep Neural Networks
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    Chapter 8 Intrusion Detection in SDN-Based Networks: Deep Recurrent Neural Network Approach
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    Chapter 9 SeqDroid: Obfuscated Android Malware Detection Using Stacked Convolutional and Recurrent Neural Networks
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    Chapter 10 Forensic Detection of Child Exploitation Material Using Deep Learning
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    Chapter 11 Toward Detection of Child Exploitation Material: A Forensic Approach
Attention for Chapter 9: SeqDroid: Obfuscated Android Malware Detection Using Stacked Convolutional and Recurrent Neural Networks
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