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Traffic Measurement and Analysis of Building Automation and Control Networks

Basic information
Original title:Traffic Measurement and Analysis of Building Automation and Control Networks
Authors:Radek Krejčí, Pavel Čeleda, Jakub Dobrovolný
Further information
Citation:KREJČÍ, Radek, Pavel ČELEDA and Jakub DOBROVOLNÝ. Traffic Measurement and Analysis of Building Automation and Control Networks. In Ramin Sadre, Jiří Novotný, Pavel Čeleda, Martin Waldburger, Burkhard Stiller. Lecture Notes in Computer Science 7279. Heidelberg: Springer Berlin / Heidelberg, 2012. p. 62-73, 12 pp. ISBN 978-3-642-30632-7. doi:10.1007/978-3-642-30633-4_9.Export BibTeX
@inproceedings{984128,
author = {Krejčí, Radek and Čeleda, Pavel and Dobrovolný, Jakub},
address = {Heidelberg},
booktitle = {Lecture Notes in Computer Science 7279},
doi = {http://dx.doi.org/10.1007/978-3-642-30633-4_9},
editor = {Ramin Sadre, Jiří Novotný, Pavel Čeleda, Martin Waldburger, Burkhard Stiller},
keywords = {BACnet;BACnetFlow;network;measurement;analysis;building;automation;control},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Heidelberg},
isbn = {978-3-642-30632-7},
pages = {62-73},
publisher = {Springer Berlin / Heidelberg},
title = {Traffic Measurement and Analysis of Building Automation and Control Networks},
year = {2012}
}
Original language:English
Field:Informatics
Type:Article in Proceedings
Keywords:BACnet;BACnetFlow;network;measurement;analysis;building;automation;control

This paper proposes a framework for a flow-based network traffic monitoring of building automation and control networks. Current approaches to monitor special environment networks are limited to checking accessibility and a state of monitored devices. On the other hand, current generation of flow-based network monitoring tools focuses only on the IP traffic. These tools do not allow to observe special protocols used, for example, in an intelligent building network. We present a novel approach based on processing of flow information from such special environment. To demonstrate capabilities of such approach and to provide characteristics of a large building automation network, we present measurement results from Masaryk University Campus.

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