Pattern Detection Based Network Diagnostics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F20%3APU138623" target="_blank" >RIV/00216305:26230/20:PU138623 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/12293/" target="_blank" >https://www.fit.vut.cz/research/publication/12293/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0009891500350042" target="_blank" >10.5220/0009891500350042</a>
Alternative languages
Result language
angličtina
Original language name
Pattern Detection Based Network Diagnostics
Original language description
One of the most important parts of the network administrators' work is detecting and correcting errors inside computer networks. This part is also called network diagnostics. The problem is that computer networks are very complex, and there is no single universal approach for diagnosing the errors. In this paper, we propose a new method of diagnostics which utilizes looking for specific patterns inside captured network data. This approach automatically checks for all predefined patterns and generates a report with error descriptions for any detected errors. We have created a proof-of-concept tool and demonstrated its functionality.
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
2020
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 Joint Conference on e-Business and Telecommunications
ISBN
978-989-758-445-9
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
35-42
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Setubal
Event location
Online streaming
Event date
Jul 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000615962300002