Tuning Windowed Chi-Squared Detectors for Sensor Attacks

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Institute of Electrical and Electronics Engineers Inc.

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Abstract

A model-based windowed chi-squared procedure is proposed for identifying falsified sensor measurements. We employ the widely-used static chi-squared and the dynamic cumulative sum (CUSUM) fault/attack detection procedures as benchmarks to compare the performance of the windowed chi-squared detector. In particular, we characterize the state degradation that a class of attacks can induce to the system while enforcing that the detectors do not raise alarms (zero-alarm attacks). We quantify the advantage of using dynamic detectors, which leverage the history of the state, over a static detectors which uses a single measurement at a time. Simulations using a chemical reactor are presented to illustrate the performance of our tools. © 2018 AACC.

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Keywords

Detectors, Linear systems, Process control, Wireless sensor networks

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This work was partially supported by the National Research Foundation (NRF), Prime Minister’s Office, Singapore, under its National Cybersecurity R&D Programme (Award No. NRF2014NCR-NCR001-40).

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©2018 AACC

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