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Recent Advances in Intrusion Detection

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Cover of 'Recent Advances in Intrusion Detection'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Extraction of Accurate Application-Specific Sandboxing Policy
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    Chapter 2 Context Sensitive Anomaly Monitoring of Process Control Flow to Detect Mimicry Attacks and Impossible Paths
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    Chapter 3 HoneyStat: Local Worm Detection Using Honeypots
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    Chapter 4 Fast Detection of Scanning Worm Infections
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    Chapter 5 Detecting Unknown Massive Mailing Viruses Using Proactive Methods
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    Chapter 6 Using Adaptive Alert Classification to Reduce False Positives in Intrusion Detection
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    Chapter 7 Attack Analysis and Detection for Ad Hoc Routing Protocols
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    Chapter 8 On the Design and Use of Internet Sinks for Network Abuse Monitoring
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    Chapter 9 Monitoring IDS Background Noise Using EWMA Control Charts and Alert Information
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    Chapter 10 Symantec Deception Server Experience with a Commercial Deception System
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    Chapter 11 Anomalous Payload-Based Network Intrusion Detection
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    Chapter 12 Anomaly Detection Using Layered Networks Based on Eigen Co-occurrence Matrix
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    Chapter 13 Seurat: A Pointillist Approach to Anomaly Detection
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    Chapter 14 Detection of Interactive Stepping Stones: Algorithms and Confidence Bounds
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    Chapter 15 Formal Reasoning About Intrusion Detection Systems
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    Chapter 16 RheoStat: Real-Time Risk Management
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Chapter title
Using Adaptive Alert Classification to Reduce False Positives in Intrusion Detection
Chapter number 6
Book title
Recent Advances in Intrusion Detection
Published by
Springer, Berlin, Heidelberg, September 2004
DOI 10.1007/978-3-540-30143-1_6
Book ISBNs
978-3-54-023123-3, 978-3-54-030143-1
Authors

Tadeusz Pietraszek, Pietraszek, Tadeusz

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Switzerland 1 1%
France 1 1%
Spain 1 1%
Japan 1 1%
Greece 1 1%
Unknown 90 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 30%
Student > Ph. D. Student 22 23%
Researcher 10 10%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Other 13 14%
Unknown 9 9%
Readers by discipline Count As %
Computer Science 68 71%
Engineering 8 8%
Unspecified 2 2%
Medicine and Dentistry 2 2%
Social Sciences 2 2%
Other 0 0%
Unknown 14 15%