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Network Traffic Characterisation Using Flow-Based Statistics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F16%3A00089904" target="_blank" >RIV/00216224:14610/16:00089904 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/NOMS.2016.7502924" target="_blank" >http://dx.doi.org/10.1109/NOMS.2016.7502924</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/NOMS.2016.7502924" target="_blank" >10.1109/NOMS.2016.7502924</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Network Traffic Characterisation Using Flow-Based Statistics

  • Original language description

    Performing research on live network traffic requires the traffic to be well documented and described. The results of such research are heavily dependent on the particular network. This paper presents a study of network characteristics, which can be used to describe the behaviour of a network. We propose a number of characteristics that can be collected from the networks and evaluate them on five different networks of Masaryk University. The proposed characteristics cover IP, transport and application layers of the network traffic. Moreover, they reflect strong day-night and weekday patterns that are present in most of the networks. Variation in the characteristics between the networks indicates that they can be used for the description and differentiation of the networks. Furthermore, a weak correlation between the chosen characteristics implies their independence and contribution to network description.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IEEE/IFIP Network Operations and Management Symposium 2016 (NOMS 2016)

  • ISBN

    9781509002238

  • ISSN

    1542-1201

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    907-912

  • Publisher name

    IEEE Xplore Digital Library

  • Place of publication

    Istanbul, Turkey

  • Event location

    Istanbul, Turkey

  • Event date

    Apr 25, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000389830100135