SCADA (Supervisory Control and Data Acquisition) systems are computer systems used for monitoring and controlling industrial processes such as power plants and power grid systems, water, gas and oil distribution, production systems for food, cars and other products. In the current effort we propose a new approach for deviation monitoring in SCADA networks. We use statistics extracted from parsed protocol messages to build models of usual plant operations. We validate our approach using network traffic from five real-life SCADA installations operating on three common industrial protocols.
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