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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 Detecting Long Connection Chains of Interactive Terminal Sessions
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    Chapter 2 Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay
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    Chapter 3 Detecting Malicious Software by Monitoring Anomalous Windows Registry Accesses
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    Chapter 4 Undermining an Anomaly-Based Intrusion Detection System Using Common Exploits
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    Chapter 5 Analyzing Intensive Intrusion Alerts via Correlation
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    Chapter 6 A Mission-Impact-Based Approach to INFOSEC Alarm Correlation
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    Chapter 7 M2D2: A Formal Data Model for IDS Alert Correlation
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    Chapter 8 Development of a Legal Framework for Intrusion Detection
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    Chapter 9 Learning Unknown Attacks — A Start
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    Chapter 10 Evaluation of the Diagnostic Capabilities of Commercial Intrusion Detection Systems
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    Chapter 11 A Stochastic Model for Intrusions
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    Chapter 12 Attacks against Computer Network: Formal Grammar-Based Framework and Simulation Tool
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    Chapter 13 Capacity Verification for High Speed Network Intrusion Detection Systems
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    Chapter 14 Performance Adaptation in Real-Time Intrusion Detection Systems
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    Chapter 15 Accurate Buffer Overflow Detection via Abstract Pay load Execution
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    Chapter 16 Introducing Reference Flow Control for Detecting Intrusion Symptoms at the OS Level
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    Chapter 17 The Effect of Identifying Vulnerabilities and Patching Software on the Utility of Network Intrusion Detection
Attention for Chapter 14: Performance Adaptation in Real-Time Intrusion Detection Systems
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Chapter title
Performance Adaptation in Real-Time Intrusion Detection Systems
Chapter number 14
Book title
Recent Advances in Intrusion Detection
Published by
Springer, Berlin, Heidelberg, October 2002
DOI 10.1007/3-540-36084-0_14
Book ISBNs
978-3-54-000020-4, 978-3-54-036084-1
Authors

Wenke Lee, João B. D. Cabrera, Ashley Thomas, Niranjan Balwalli, Sunmeet Saluja, Yi Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 5%
Brazil 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 53%
Student > Master 4 21%
Other 2 11%
Professor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 16 84%
Business, Management and Accounting 1 5%
Environmental Science 1 5%
Unknown 1 5%