Modern critical infrastructures, such as water distribution and power generation, are large facilities that are distributed over large geographical areas. Supervisory Control and Data Acquisition (SCADA) networks are deployed to guarantee the correct operation and safety of these infrastructures. In this paper, we describe key characteristics of SCADA traffic, verifying if models developed for traffic in traditional IT networks are applicable. Our results show that SCADA traffic largely differs from traditional IT traffic, more noticeably not presenting diurnal patters or self-similar correlations in the time series. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Barbosa, R. R. R., Sadre, R., & Pras, A. (2012). Difficulties in modeling SCADA traffic: A comparative analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7192 LNCS, pp. 126–135). https://doi.org/10.1007/978-3-642-28537-0_13
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