Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 44, Issue 11, Pages 2010-2023Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2014.2316003
Keywords
Cyber attacks; data quality assessment; measure of resiliency; resilient monitoring systems; sensor networks
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Funding
- U.S. Department of Energy under DOE [DE-AC07-05ID14517]
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Resilient monitoring systems, considered in this paper, are sensor networks that degrade gracefully under malicious attacks on their sensors, causing them to project misleading information. The goal of this paper is to design, analyze, and evaluate the performance of a resilient monitoring system intended to monitor plant conditions (normal or anomalous). The architecture developed consists of four layers: data quality assessment, process variable assessment, plant condition assessment, and sensor network adaptation. Each of these layers is analyzed by either analytical or numerical tools. The performance of the overall system is evaluated using a simplified boiler/turbine plant. The measure of resiliency is quantified based on the Kullback-Leibler divergence and shown to be sufficiently high in all scenarios considered.
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