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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 Analyzing Memory Accesses in Obfuscated x86 Executables
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    Chapter 2 Hybrid Engine for Polymorphic Shellcode Detection
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    Chapter 3 Experiences Using Minos as a Tool for Capturing and Analyzing Novel Worms for Unknown Vulnerabilities
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    Chapter 4 A Pointillist Approach for Comparing Honeypots
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    Chapter 5 Automatic Detection of Attacks on Cryptographic Protocols: A Case Study
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    Chapter 6 METAL – A Tool for Extracting Attack Manifestations
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    Chapter 7 Flow-Level Traffic Analysis of the Blaster and Sobig Worm Outbreaks in an Internet Backbone
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    Chapter 8 A Learning-Based Approach to the Detection of SQL Attacks
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    Chapter 9 Masquerade Detection via Customized Grammars
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    Chapter 10 A Prevention Model for Algorithmic Complexity Attacks
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    Chapter 11 Detecting Malicious Code by Model Checking
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    Chapter 12 Improving the Efficiency of Misuse Detection
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    Chapter 13 Enhancing the Accuracy of Network-Based Intrusion Detection with Host-Based Context
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    Chapter 14 TCPtransform: Property-Oriented TCP Traffic Transformation
Attention for Chapter 10: A Prevention Model for Algorithmic Complexity Attacks
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