Resilient Plant Monitoring System: Design, Analysis, and Performance Evaluation
Resilient monitoring systems 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, and the performance of the overall system is evaluated using simulations. The measure of resiliency of the resulting system is evaluated using Kullback Leibler divergence, and is shown to be sufficiently high in all scenarios considered.
- Research Organization:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- DE-AC07-05ID14517
- OSTI ID:
- 1117732
- Report Number(s):
- INL/CON-13-28681
- Resource Relation:
- Conference: 2013 IEEE 52nd Annual Conference on Decision and Control (CDC),Firenze, Italy,12/10/2013,12/13/2013
- Country of Publication:
- United States
- Language:
- English
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