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Issue No. 05 - Sept.-Oct. (2016 vol. 20)
ISSN: 1089-7801
pp: 18-27
Mahdi Jamei , Arizona State University
Emma Stewart , Lawrence Berkeley National Laboratory
Sean Peisert , Lawrence Berkeley National Laboratory
Anna Scaglione , Arizona State University
Chuck McParland , Lawrence Berkeley National Laboratory
Ciaran Roberts , Lawrence Berkeley National Laboratory
Alex McEachern , Power Standards Lab
Because electric power distribution systems are undergoing many technological changes, concerns are emerging about additional vulnerabilities that might arise. Resilient cyber-physical systems (CPSs) must leverage state measures and operational models that interlink their physical and cyber assets, to assess their global state. Here, the authors describe a viable process of abstraction to obtain this holistic state exploration tool by analyzing data from micro-phasor measurement units (µPMUs) and monitoring distribution supervisory control and data acquisition (DSCADA) traffic. To interpret the data, they use semantics that express the specific physical and operational constraints of the system in both cyber and physical realms.
Web and internet services, Computer security, Data acquisition, Process control, Measurement units, SCADA systems, Semantics, Intrusion detection, Privacy, Computer crime, Phasor measurement units,distribution supervisory control and data acquisition (DSCADA), Internet/Web technologies, cybersecurity, distribution grid, intrusion detection, micro phasor measurement unit (µPMU)
Mahdi Jamei, Emma Stewart, Sean Peisert, Anna Scaglione, Chuck McParland, Ciaran Roberts, Alex McEachern, "Micro Synchrophasor-Based Intrusion Detection in Automated Distribution Systems: Toward Critical Infrastructure Security", IEEE Internet Computing, vol. 20, no. , pp. 18-27, Sept.-Oct. 2016, doi:10.1109/MIC.2016.102
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