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Network Problem Diagnostics using Typographic Error Correction

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU142931" target="_blank" >RIV/00216305:26230/21:PU142931 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/12552/" target="_blank" >https://www.fit.vut.cz/research/publication/12552/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/CNSM52442.2021.9615525" target="_blank" >10.23919/CNSM52442.2021.9615525</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Network Problem Diagnostics using Typographic Error Correction

  • Original language description

    Detecting and correcting network and service availability issues is an essential part of the network administrator's daily duty. One of the causes of errors can be the user herself providing incorrect input. The present work describes a new diagnostic method that detects incorrectly inserted inputs observed in network-related data, e.g., network traffic, log files. The proposed method aims to detect incorrect words in domains, login names, or email addresses. First, we describe how to detect possible incorrect words. For each such detected word, a list of correct candidates is created based on edit distance. Next, the correction method selects the best word by scoring candidates based on the probability of occurrence in the given context. The proposed method was implemented as a prototype and tested on words created using real user activities. The evaluation demonstrates that this approach can substantially reduce the time needed to identify this kind of errors.

  • 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

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 17th International Conference on Network Service Management (CNSM 2021)

  • ISBN

    978-3-903176-36-2

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    482-490

  • Publisher name

    Institute of Electrical and Electronics Engineers

  • Place of publication

    Izmir

  • Event location

    Izmir

  • Event date

    Oct 25, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000836226700077