Invention Grant
- Patent Title: Detection of false data injection attacks in power systems using multiplex invariant networks and domain knowledge
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Application No.: US16151544Application Date: 2018-10-04
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Publication No.: US10585123B2Publication Date: 2020-03-10
- Inventor: Kiyoshi Nakayama , Chenrui Jin , Ratnesh Sharma , Nikhil Muralidhar
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: JP
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP
- Agent Joseph Kolodka
- Main IPC: G01R19/25
- IPC: G01R19/25 ; G06F17/16 ; G06K9/72 ; G06Q50/06

Abstract:
A computer-implemented method, system, and computer program product are provided for anomaly detection in a power system. The method includes receiving, by a processor-device, a plurality of measurements from a plurality of meters throughout the power system. The method also includes generating, by the processor-device, temporal causal networks based on pair-wise relationships between the plurality of measurements from the plurality of meters over time. The method additionally includes determining, by the processor-device, invariant relationships for the plurality of meters between the temporal causal networks. The method further includes predicting, by the processor-device, an anomaly from the invariant relationships for the plurality of meters with a residual anomaly threshold. The method also includes disabling one of the plurality of meters that originated the anomaly.
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