Conference proceeding
Strategies to Design Signals to Spoof Kalman Filter
2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), v 2018-, pp 5837-5842
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We study the problem of designing spoofing signals to corrupt and mislead the output of a Kalman filter. Unlike existing works that focus on detection and filtering algorithms for the observer, we study the problem from the attacker's point-of-view. In our model, the attacker can corrupt the measurements by adding spoofing signals. The attacker seeks to create a separation between the estimate of the Kalman filter with and without spoofing signals. We present a number of results on how to generate such spoofing signals, while minimizing the signal magnitude. The resulting algorithms are evaluated through simulations along with theoretical proofs.
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Details
- Title
- Strategies to Design Signals to Spoof Kalman Filter
- Creators
- Zhongshun Zhang - Virginia TechLifeng Zhou - Virginia TechPratap Tokekar - Virginia Tech
- Publication Details
- 2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), v 2018-, pp 5837-5842
- Series
- Proceedings of the American Control Conference
- Publisher
- IEEE
- Number of pages
- 6
- Grant note
- 1566247 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000591256605147
- Scopus ID
- 2-s2.0-85052565127
- Other Identifier
- 991021945876804721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic