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. © 2012 IFIP International Federation for Information Processing.
CITATION STYLE
Krejčí, R., Čeleda, P., & Dobrovolný, J. (2012). Traffic measurement and analysis of building automation and control networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7279 LNCS, pp. 62–73). https://doi.org/10.1007/978-3-642-30633-4_9
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