Resilient Monitoring Systems: Architecture, Design, and Application to Boiler/Turbine Plant

被引：23

作者：

Garcia, Humberto E. ^{[1
]}

Lin, Wen-Chiao ^{[1
]}

Meerkov, Semyon M. ^{[2
]}

Ravichandran, Maruthi T. ^{[2
]}

机构：

[1] Idaho Natl Lab, Idaho Falls, ID 83415 USA

[2] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA

来源：

IEEE TRANSACTIONS ON CYBERNETICS | 2014年 / 44卷 / 11期

关键词：

Cyber attacks; data quality assessment; measure of resiliency; resilient monitoring systems; sensor networks;

D O I：

10.1109/TCYB.2014.2316003

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2010 / 2023

页数：14

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