Network Problem Diagnostics using Typographic Error Correction

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Network Problem Diagnostics using Typographic Error Correction

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Network Problem Diagnostics using Typographic Error Correction

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-3-903176-36-2

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

482-490

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Izmir

Místo konání akce

Izmir

Datum konání akce

25. 10. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000836226700077