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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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e-ISSN
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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