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Network Diagnostics Using Passive Network Monitoring and Packet Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU135006" target="_blank" >RIV/00216305:26230/19:PU135006 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/11993/" target="_blank" >https://www.fit.vut.cz/research/publication/11993/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Network Diagnostics Using Passive Network Monitoring and Packet Analysis

  • Original language description

    Finding a problem cause in network infrastructure is a complex task because a fault node may impair seemingly independent components. On the other hand, most communication protocols have built-in error detection mechanisms. In this paper, we propose to build a system that automatically diagnoses network services and applications by inspecting the network communication automatically. We model the diagnostic problem using a fault tree method and generate a set of rules that identify the symptoms and link them with possible causes. The administrators can extend these rules based on their experiences and the network configuration to automatize their routine tasks. We successfully deployed the proof-of-concept tool and found interesting future research topics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICNS 2019

  • ISBN

    978-1-61208-711-5

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    47-51

  • Publisher name

    The International Academy, Research and Industry Association

  • Place of publication

    Athens

  • Event location

    Athens

  • Event date

    Jun 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article