An event correlation approach for fault diagnosis in SCADA infrastructures

Article, Conference object CLOSED
Massimo Ficco ; Alessandro Daidone ; Luigi Coppolino ; Luigi Romano ; Andrea Bondavalli (2011)

Supervisory Control and Data Acquisition (SCADA) systems control and monitor industrial and critical infrastructure functions, including gas, water, electricity, and railway. Despite a huge effort from research communities and industries have been made in addressing the dependability of SCADA systems, the diagnosis of SCADA malfunctions is still a challenging issue today. This paper proposes a Simple Event Correlator engine for diagnosis of malfunctions in SCADA systems based on a rule-based event correlation approach. In particular, it is used to detect and filter "relevant" symptoms useful for fault diagnosis in a SCADA infrastructure.
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