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Flow Data Collection in Large Scale Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F13%3A00068044" target="_blank" >RIV/00216224:14610/13:00068044 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Flow Data Collection in Large Scale Networks

  • Original language description

    In this chapter, we present flow-based network traffic monitoring of large scale networks. Continuous Internet traffic increase requires a deployment of advanced monitoring techniques to provide near real-time and long-term network visibility. Collectedflow data can be further used for network behavioral analysis to indicate legitimate and malicious traffic, proving cyber threats, etc. An early warning system should integrate flow-based monitoring to ensure network situational awareness.

  • 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

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in IT Early Warning

  • ISBN

    9783839604748

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    30-40

  • Publisher name

    Fraunhofer Verlag

  • Place of publication

    Stuttgart

  • Event location

    Stuttgart

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article