Using Network Traces to Generate Models for Automatic Network Application Protocols Diagnostics

Martin Holkovič, Ondřej Ryšavý, Libor Polčák

2019

Abstract

Network diagnostics is a time-consuming activity that requires an administrator with good knowledge of network principles and technologies. Even if some network errors have been resolved in the past, the administrator must spend considerable time removing these errors when they reoccur. This article presents an automated tool to learn the expected behavior of network protocols and possible variations. The created model can be used to automate the diagnostic process. The model presents a finite automaton containing protocol behavior for different situations. Diagnostics of unknown communication is performed by checking the created model and searching for error states and their descriptions. We have also created a proof-of-concept tool that demonstrates the practical potential of this approach.

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Paper Citation


in Harvard Style

Holkovič M., Ryšavý O. and Polčák L. (2019). Using Network Traces to Generate Models for Automatic Network Application Protocols Diagnostics.In Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET, ISBN 978-989-758-378-0, pages 37-47. DOI: 10.5220/0007929900370047


in Bibtex Style

@conference{dcnet19,
author={Martin Holkovič and Ondřej Ryšavý and Libor Polčák},
title={Using Network Traces to Generate Models for Automatic Network Application Protocols Diagnostics},
booktitle={Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET,},
year={2019},
pages={37-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007929900370047},
isbn={978-989-758-378-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications - Volume 1: DCNET,
TI - Using Network Traces to Generate Models for Automatic Network Application Protocols Diagnostics
SN - 978-989-758-378-0
AU - Holkovič M.
AU - Ryšavý O.
AU - Polčák L.
PY - 2019
SP - 37
EP - 47
DO - 10.5220/0007929900370047