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Authors: Martin Holkovič ; Michal Bohuš and Ondřej Ryšavý

Affiliation: Faculty of Information Technology, Brno University of Technology, Bozetechova 1/2, 612 66 Brno, Czech Republic

Keyword(s): Network Diagnostics, Passive Diagnostics, Rule-based Diagnostics, Patterns Lookup, Patterns Diagnostics, Anomaly-based Diagnostics.

Abstract: 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Holkovič, M. ; Bohuš, M. and Ryšavý, O. (2020). Pattern Detection based Network Diagnostics. In Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET; ISBN 978-989-758-445-9; ISSN 2184-3236, SciTePress, pages 35-42. DOI: 10.5220/0009891500350042

@conference{dcnet20,
author={Martin Holkovič and Michal Bohuš and Ond\v{r}ej Ryšavý},
title={Pattern Detection based Network Diagnostics},
booktitle={Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET},
year={2020},
pages={35-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009891500350042},
isbn={978-989-758-445-9},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on e-Business and Telecommunications - DCNET
TI - Pattern Detection based Network Diagnostics
SN - 978-989-758-445-9
IS - 2184-3236
AU - Holkovič, M.
AU - Bohuš, M.
AU - Ryšavý, O.
PY - 2020
SP - 35
EP - 42
DO - 10.5220/0009891500350042
PB - SciTePress