Recent Advances in Intrusion Detection

Table of Contents

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   Book Overview
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   Chapter 1 Panacea: Automating Attack Classification for Anomaly-Based Network Intrusion Detection Systems
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   Chapter 2 Recent Advances in Intrusion Detection
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   Chapter 3 Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
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   Chapter 4 Runtime Monitoring and Dynamic Reconfiguration for Intrusion Detection Systems
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   Chapter 5 Malware Behavioral Detection by Attribute-Automata Using Abstraction from Platform and Language
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   Chapter 6 Automatic Generation of String Signatures for Malware Detection
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   Chapter 7 PE-Miner: Mining Structural Information to Detect Malicious Executables in Realtime
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   Chapter 8 Automatically Adapting a Trained Anomaly Detector to Software Patches
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    Chapter 9 Towards Generating High Coverage Vulnerability-Based Signatures with Protocol-Level Constraint-Guided Exploration
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    Chapter 10 Automated Behavioral Fingerprinting
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    Chapter 11 SMS-Watchdog: Profiling Social Behaviors of SMS Users for Anomaly Detection
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    Chapter 12 Keystroke-Based User Identification on Smart Phones
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    Chapter 13 VirusMeter: Preventing Your Cellphone from Spies
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    Chapter 14 Regular Expression Matching on Graphics Hardware for Intrusion Detection
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    Chapter 15 Multi-byte Regular Expression Matching with Speculation
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    Chapter 16 Toward Revealing Kernel Malware Behavior in Virtual Execution Environments
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    Chapter 17 Exploiting Temporal Persistence to Detect Covert Botnet Channels
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    Chapter 18 Recent Advances in Intrusion Detection
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    Chapter 19 Automatic Software Instrumentation for the Detection of Non-control-data Attacks
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    Chapter 20 BLADE: Slashing the Invisible Channel of Drive-by Download Malware
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    Chapter 21 CERN Investigation of Network Behaviour and Anomaly Detection
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    Chapter 22 Blare Tools: A Policy-Based Intrusion Detection System Automatically Set by the Security Policy
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    Chapter 23 Detection, Alert and Response to Malicious Behavior in Mobile Devices: Knowledge-Based Approach
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    Chapter 24 Autonomic Intrusion Detection System
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    Chapter 25 ALICE@home: Distributed Framework for Detecting Malicious Sites
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    Chapter 26 Packet Space Analysis of Intrusion Detection Signatures
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    Chapter 27 Traffic Behaviour Characterization Using NetMate
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    Chapter 28 On the Inefficient Use of Entropy for Anomaly Detection
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    Chapter 29 Browser-Based Intrusion Prevention System
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    Chapter 30 Using Formal Grammar and Genetic Operators to Evolve Malware
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    Chapter 31 Method for Detecting Unknown Malicious Executables
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    Chapter 32 Brave New World: Pervasive Insecurity of Embedded Network Devices
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    Chapter 33 DAEDALUS: Novel Application of Large-Scale Darknet Monitoring for Practical Protection of Live Networks