Department of Information Systems

Conference paper

HOLKOVIČ Martin and RYŠAVÝ Ondřej. Network Diagnostics Using Passive Network Monitoring and Packet Analysis. In: ICNS 2019. Athens: The International Academy, Research and Industry Association, 2019, pp. 47-51. ISBN 978-1-61208-711-5.
Publication language:english
Original title:Network Diagnostics Using Passive Network Monitoring and Packet Analysis
Title (cs):Diagnostika počítačových sítí využitím pasivního monitoringu a paketové analýzy
Pages:47-51
Proceedings:ICNS 2019
Conference:The Fifteenth International Conference on Networking and Services ICNS 2019
Series:The Fifteenth International Conference on Networking and Services
Place:Athens, GR
Year:2019
ISBN:978-1-61208-711-5
Publisher:The International Academy, Research and Industry Association
Keywords
Network diagnostics, passive network monitoring, rule-based diagnostics, fault tree analysis, event-based diagnostics.
Annotation
Finding a problem cause in network infrastructure is a complex task because a fault node may impair seemingly independent components. On the other hand, most communication protocols have built-in error detection mechanisms. In this paper, we propose to build a system that automatically diagnoses network services and applications by inspecting the network communication automatically. We model the diagnostic problem using a fault tree method and generate a set of rules that identify the symptoms and link them with possible causes. The administrators can extend these rules based on their experiences and the network configuration to automatize their routine tasks. We successfully deployed the proof-of-concept tool and found interesting future research topics.
Abstract
Finding a problem cause in network infrastructure is a complex task because a fault node may impair seemingly independent components. On the other hand, most communication protocols have built-in error detection mechanisms. In this paper, we propose to build a system that automatically diagnoses network services and applications by inspecting the network communication automatically. We model the diagnostic problem using a fault tree method and generate a set of rules that identify the symptoms and link them with possible causes. The administrators can extend these rules based on their experiences and the network configuration to automatize their routine tasks. We successfully deployed the proof-of-concept tool and found interesting future research topics.
BibTeX:
@INPROCEEDINGS{
   author = {Martin Holkovi{\v{c}} and Ond{\v{r}}ej
	Ry{\v{s}}av{\'{y}}},
   title = {Network Diagnostics Using Passive Network
	Monitoring and Packet Analysis},
   pages = {47--51},
   booktitle = {ICNS 2019},
   series = {The Fifteenth International Conference on Networking and
	Services},
   year = 2019,
   location = {Athens, GR},
   publisher = {The International Academy, Research and Industry Association},
   ISBN = {978-1-61208-711-5},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en?id=11993}
}

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