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Attack-Resilient Sensor Fusion for Safety-Critical Cyber-Physical Systems

Attack-Resilient Sensor Fusion for Safety-Critical Cyber-Physical Systems Attack-Resilient Sensor Fusion for Safety-Critical Cyber-Physical Systems RADOSLAV IVANOV, University of Pennsylvania MIROSLAV PAJIC, Duke University INSUP LEE, University of Pennsylvania This article focuses on the design of safe and attack-resilient Cyber-Physical Systems (CPS) equipped with multiple sensors measuring the same physical variable. A malicious attacker may be able to disrupt system performance through compromising a subset of these sensors. Consequently, we develop a precise and resilient sensor fusion algorithm that combines the data received from all sensors by taking into account their specified precisions. In particular, we note that in the presence of a shared bus, in which messages are broadcast to all nodes in the network, the attacker's impact depends on what sensors he has seen before sending the corrupted measurements. Therefore, we explore the effects of communication schedules on the performance of sensor fusion and provide theoretical and experimental results advocating for the use of the Ascending schedule, which orders sensor transmissions according to their precision starting from the most precise. In addition, to improve the accuracy of the sensor fusion algorithm, we consider the dynamics of the system in order to incorporate past measurements at the current time. Possible ways of mapping sensor measurement http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Embedded Computing Systems (TECS) Association for Computing Machinery

Attack-Resilient Sensor Fusion for Safety-Critical Cyber-Physical Systems

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2016 by ACM Inc.
ISSN
1539-9087
DOI
10.1145/2847418
Publisher site
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Abstract

Attack-Resilient Sensor Fusion for Safety-Critical Cyber-Physical Systems RADOSLAV IVANOV, University of Pennsylvania MIROSLAV PAJIC, Duke University INSUP LEE, University of Pennsylvania This article focuses on the design of safe and attack-resilient Cyber-Physical Systems (CPS) equipped with multiple sensors measuring the same physical variable. A malicious attacker may be able to disrupt system performance through compromising a subset of these sensors. Consequently, we develop a precise and resilient sensor fusion algorithm that combines the data received from all sensors by taking into account their specified precisions. In particular, we note that in the presence of a shared bus, in which messages are broadcast to all nodes in the network, the attacker's impact depends on what sensors he has seen before sending the corrupted measurements. Therefore, we explore the effects of communication schedules on the performance of sensor fusion and provide theoretical and experimental results advocating for the use of the Ascending schedule, which orders sensor transmissions according to their precision starting from the most precise. In addition, to improve the accuracy of the sensor fusion algorithm, we consider the dynamics of the system in order to incorporate past measurements at the current time. Possible ways of mapping sensor measurement

Journal

ACM Transactions on Embedded Computing Systems (TECS) – Association for Computing Machinery

Published: Feb 20, 2016

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