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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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Mentioned by

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29 X users
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7 patents
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2 Wikipedia pages

Readers on

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143 Mendeley
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Title
Recent Advances in Intrusion Detection
Published by
Springer, Berlin, Heidelberg, January 2004
DOI 10.1007/b100714
ISBNs
978-3-54-023123-3, 978-3-54-030143-1
Authors

Ke Wang, Salvatore Stolfo

Editors

Erland Jonsson, Alfonso Valdes, Magnus Almgren

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Portugal 2 1%
Japan 2 1%
Brazil 2 1%
United Kingdom 1 <1%
Ireland 1 <1%
India 1 <1%
Switzerland 1 <1%
Korea, Republic of 1 <1%
Other 2 1%
Unknown 127 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 39 27%
Student > Ph. D. Student 38 27%
Student > Bachelor 20 14%
Researcher 13 9%
Student > Postgraduate 8 6%
Other 25 17%
Readers by discipline Count As %
Computer Science 108 76%
Engineering 12 8%
Unspecified 10 7%
Business, Management and Accounting 6 4%
Agricultural and Biological Sciences 3 2%
Other 4 3%