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.
An Event Correlation Approach for Fault Diagnosis in SCADA Infrastructures
FICCO, Massimo;
2011
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
