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Recent Advances in Intrusion Detection

Overview of attention for book
Cover of 'Recent Advances in Intrusion Detection'

Table of Contents

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    Book Overview
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    Chapter 1 Virtual Playgrounds for Worm Behavior Investigation
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    Chapter 2 Empirical Analysis of Rate Limiting Mechanisms
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    Chapter 3 COTS Diversity Based Intrusion Detection and Application to Web Servers
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    Chapter 4 Behavioral Distance for Intrusion Detection
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    Chapter 5 FLIPS: Hybrid Adaptive Intrusion Prevention
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    Chapter 6 Towards Software-Based Signature Detection for Intrusion Prevention on the Network Card
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    Chapter 7 Defending Against Injection Attacks Through Context-Sensitive String Evaluation
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    Chapter 8 Improving Host-Based IDS with Argument Abstraction to Prevent Mimicry Attacks
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    Chapter 9 On Random-Inspection-Based Intrusion Detection
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    Chapter 10 Environment-Sensitive Intrusion Detection
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    Chapter 11 Polymorphic Worm Detection Using Structural Information of Executables
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    Chapter 12 Anomalous Payload-Based Worm Detection and Signature Generation
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    Chapter 13 On Interactive Internet Traffic Replay
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    Chapter 14 Interactive Visualization for Network and Port Scan Detection
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    Chapter 15 A Fast Static Analysis Approach to Detect Exploit Code Inside Network Flows
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    Chapter 16 Sequence Number-Based MAC Address Spoof Detection
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    Chapter 17 A Specification-Based Intrusion Detection Model for OLSR
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Mentioned by

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1 tweeter
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1 patent
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1 Wikipedia page

Citations

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5 Dimensions

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2 Mendeley
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Title
Recent Advances in Intrusion Detection
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/11663812
ISBNs
978-3-54-031778-4, 978-3-54-031779-1
Editors

Valdes, Alfonso, Zamboni, Diego

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%