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Detection of Intrusions and Malware, and Vulnerability Assessment

Overview of attention for book
Cover of 'Detection of Intrusions and Malware, and Vulnerability Assessment'

Table of Contents

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    Book Overview
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    Chapter 1 Driving in the Cloud: An Analysis of Drive-by Download Operations and Abuse Reporting
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    Chapter 2 ProVeX : Detecting Botnets with Encrypted Command and Control Channels
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    Chapter 3 Exploring Discriminatory Features for Automated Malware Classification
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    Chapter 4 PeerRush: Mining for Unwanted P2P Traffic
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    Chapter 5 Early Detection of Outgoing Spammers in Large-Scale Service Provider Networks
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    Chapter 6 PreparedJS: Secure Script-Templates for JavaScript
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    Chapter 7 Securing Legacy Firefox Extensions with SENTINEL
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    Chapter 8 Weaknesses in Defenses against Web-Borne Malware
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    Chapter 9 SMS-Based One-Time Passwords: Attacks and Defense
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    Chapter 10 Towards the Protection of Industrial Control Systems – Conclusions of a Vulnerability Analysis of Profinet IO
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    Chapter 11 HeapSentry: Kernel-Assisted Protection against Heap Overflows
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    Chapter 12 Preventing Backdoors in Server Applications with a Separated Software Architecture
Attention for Chapter 3: Exploring Discriminatory Features for Automated Malware Classification
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