Spatio-Temporal Characterization of Synchrophasor Data Against Spoofing Attacks in Smart Grids
“Source ID Mix” has emerged as a new type of highly deceiving attack which can alter the source information of synchrophasor data measured by multiple phasor measurement units, thereby paralyzing many wide-area measurement systems applications. To address such sophisticated cyber attacks, we have exploited the spatio-temporal characteristics of synchrophasor data for authenticating measurements’ source information. Specifically, the source authentication is performed when the measurements are subjected to three types of spoofing attacks. Some practical difficulties in applying the proposed method on real-time authentication caused by insufficient measurement data have also been solved. Experimental results with real synchrophasor measurements have validated the effectiveness of the proposed method in detecting such complicated data spoofing and improving power systems’ cyber security.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1564165
- Journal Information:
- IEEE Transactions on Smart Grid, Vol. 10, Issue 5; ISSN 1949-3053
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
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Related Subjects
Frequency control
Authentication
Time-frequency analysis
Power measurement
Frequency estimation
authorisation
power engineering computing
power system security
smart power grids
spatio-temporal characteristics
source authentication
real-time authentication
synchrophasor measurements
Source ID Mix
cyber attacks
Cyber security
machine learning
phasor measurement unit (PMU)
spoofing attack
wide-area measurement systems (WAMS)