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Traffic Monitoring and Analysis

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Cover of 'Traffic Monitoring and Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 On Profiling Residential Customers
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    Chapter 2 Sub-Space Clustering and Evidence Accumulation for Unsupervised Network Anomaly Detection
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    Chapter 3 An Analysis of Longitudinal TCP Passive Measurements (Short Paper)
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    Chapter 4 Understanding the Impact of the Access Technology: The Case of Web Search Services
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    Chapter 5 A Hadoop-Based Packet Trace Processing Tool
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    Chapter 6 Monitoring of Tunneled IPv6 Traffic Using Packet Decapsulation and IPFIX (Short Paper)
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    Chapter 7 Identifying Skype Traffic in a Large-Scale Flow Data Repository
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    Chapter 8 On the Stability of Skype Super Nodes
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    Chapter 9 Reduce to the Max: A Simple Approach for Massive-Scale Privacy-Preserving Collaborative Network Measurements (Short Paper)
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    Chapter 10 An Analysis of Anonymizer Technology Usage
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    Chapter 11 Early Classification of Network Traffic through Multi-classification
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    Chapter 12 Software Architecture for a Lightweight Payload Signature-Based Traffic Classification System
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    Chapter 13 Mining Unclassified Traffic Using Automatic Clustering Techniques
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    Chapter 14 Entropy Estimation for Real-Time Encrypted Traffic Identification (Short Paper)
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    Chapter 15 Limits in the Bandwidth Exploitation in Passive Optical Networks Due to the Operating Systems (Poster)
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    Chapter 16 Toward a Scalable and Collaborative Network Monitoring Overlay (Poster)
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    Chapter 17 Hardware-Based “on-the-fly” Per-flow Scan Detector Pre-filter (Poster)
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    Chapter 18 Anti-evasion Technique for Packet Based Pre-filtering for Network Intrusion Detection Systems (Poster)
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    Chapter 19 COMINDIS – COllaborative Monitoring with MINimum DISclosure (Poster)
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    Chapter 20 Dynamic Monitoring of Dark IP Address Space (Poster)
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Traffic Monitoring and Analysis
Published by
Springer Science & Business Media, April 2011
DOI 10.1007/978-3-642-20305-3
978-3-64-220304-6, 978-3-64-220305-3

Domingo-Pascual, Jordi, Shavitt, Yuval, Uhlig, Steve

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 63 100%
Readers by discipline Count As %
Computer Science 1 2%
Unknown 62 98%