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Thursday, September 26 • 4:30pm - 5:00pm
SPARCS: Stream-Processing Architecture Applied in Real-Time Cyber-Physical Security

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Reinhard Gentz (Lawrence Berkeley National Laboratory), Sean Peisert (Lawrence Berkeley National Laboratory), Joshua Boverhof (Lawrence Berkeley National Laboratory), and Daniel Gunter (Lawrence Berkeley National Laboratory)

In this paper, we showcase a complete, end-to-end, fault tolerant, bandwidth and latency optimized architecture for real time utilization of data from multiple sources that allows the collection, transport, storage, processing, and display of both raw data and analytics, which can be utilized for a wide variety of applications ranging from automation/control to monitoring and security. We propose a practical, hierarchical design that allows easy addition and reconfiguration of software and hardware components, while utilizing local processing of data at sensor or field site level to reduce latency and upstream bandwidth requirements. The system supports multiple fail-safe mechanisms to guarantee the delivery of sensor data. We describe the application of this architecture to cyber-physical security (CPS) by supporting security monitoring of an electric distribution grid, through the collection and analysis of distribution-grid level phasor measurement unit (PMU) data, as well as Supervisory Control And Data Acquisition (SCADA) communication in the control area network.


Reinhard Gentz

Lawrence Berkeley National Laboratory

Thursday September 26, 2019 4:30pm - 5:00pm PDT
Kon Tiki Room