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Link to original content: https://doi.org/10.1007/978-3-642-36784-7
Data Traffic Monitoring and Analysis: From Measurement, Classification, and Anomaly Detection to Quality of Experience | SpringerLink
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Data Traffic Monitoring and Analysis

From Measurement, Classification, and Anomaly Detection to Quality of Experience

  • Book
  • © 2013

Overview

  • High quality selected papers covering various aspects of data traffic monitoring and analysis in modern telecommunication networks
  • Contains chapters presenting the state of the art in high-performance traffic processing and network mapping; traffic classification and network anomaly detection
  • Aimed at researchers as well as practitioners, standard developers and policy makers

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7754)

Part of the book sub series: Computer Communication Networks and Telecommunications (LNCCN)

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About this book

This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for the future networks". It contains 14 chapters which demonstrate the results, quality,and the impact of European research in the field of TMA in line with the scientific objective of the Action. The book is structured into three parts: network and topology measurement and modelling, traffic classification and anomaly detection, quality of experience.

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Keywords

Table of contents (14 chapters)

  1. Network Measurement

  2. Traffic Classification and Anomaly Detection

  3. Quality of Experience

Editors and Affiliations

  • Networking and Security Department, Eurécom, Biot, France

    Ernst Biersack

  • Department of Information Engineering, University of Pisa, Pisa, Italy

    Christian Callegari

  • Facults of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Maja Matijasevic

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