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Sensors 2018, 18(8), 2448; https://doi.org/10.3390/s18082448

Application-Aware Anomaly Detection of Sensor Measurements in Cyber-Physical Systems

1
Department of Electrical Engineering and Computer Science, Institute for Software Integrated Systems (ISIS), Vanderbilt University, Nashville, TN 37212, USA
2
Department of Computer Science, University of Houston, Houston, TX 77204, USA
*
Author to whom correspondence should be addressed.
Received: 24 May 2018 / Revised: 17 July 2018 / Accepted: 20 July 2018 / Published: 27 July 2018
(This article belongs to the Special Issue Sensors for Fault Detection)
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Abstract

Detection errors such as false alarms and undetected faults are inevitable in any practical anomaly detection system. These errors can create potentially significant problems in the underlying application. In particular, false alarms can result in performing unnecessary recovery actions while missed detections can result in failing to perform recovery which can lead to severe consequences. In this paper, we present an approach for application-aware anomaly detection (AAAD). Our approach takes an existing anomaly detector and configures it to minimize the impact of detection errors. The configuration of the detectors is chosen so that application performance in the presence of detection errors is as close as possible to the performance that could have been obtained if there were no detection errors. We evaluate our result using a case study of real-time control of traffic signals, and show that the approach outperforms significantly several baseline detectors. View Full-Text
Keywords: anomaly detection; detection error; cyber-physical systems; traffic sensors anomaly detection; detection error; cyber-physical systems; traffic sensors
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ghafouri, A.; Laszka, A.; Koutsoukos, X. Application-Aware Anomaly Detection of Sensor Measurements in Cyber-Physical Systems. Sensors 2018, 18, 2448.

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