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False signal injection attack detection of cyber physical systems by event-triggered distributed filtering over sensor networks
conference contribution
posted on 2017-12-15, 00:00 authored by Yufeng LinYufeng Lin, Biplob RayBiplob Ray, Dennis JarvisDennis Jarvis, J WangThis paper is concerned with false signal injection attack detection mechanism using a novel distributed event-triggered filtering for cyber physical systems over sensor networks. By the Internet of Things, the classic physical systems are transformed to the networked cyber physical systems, which are built with a large number of distributed networked sensors. In order to save the precious network resources, a novel distributed event-triggered strategy is proposed. Under this strategy, to generate the localized residual signals, the event-triggered distributed fault detection filters are proposed. By Lyapunov- Krasovskii functional theory, the distributed fault detection filtering problem can be formulated as stability and an H∞H∞ performance of the residual system. Furthermore, a sufficient condition is derived such that the resultant residual system is stable while the transmission of the sampled data is reduced. Based on this condition, the codesign method of the fault detection filters and the transmission strategy is proposed. An illustrative example is given to show the effectiveness of the proposed method.
History
Editor
Batten L; Li GVolume
651Start Page
142End Page
153Number of Pages
12Start Date
2016-10-26Finish Date
2016-10-28ISBN-13
9789811027406Location
Cairns, AustraliaPublisher
SpringerPlace of Publication
SingaporePublisher DOI
Full Text URL
Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Fuzhou University, ChinaAuthor Research Institute
- Centre for Intelligent Systems
Era Eligible
- Yes