Event-based distributed filtering against deception attacks for sensor networks with quantization effect
This paper considers a distributed secure filtering problem for a category of time-varying system subject to uncertainty and model-reality mismatch, two-stage deception attacks and bandwidth limitation. Both deception attacks between sensor and corresponding estimator and among estimators appear ran...
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| Published in | ISA transactions Vol. 126; pp. 338 - 351 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.07.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0019-0578 1879-2022 1879-2022 |
| DOI | 10.1016/j.isatra.2021.08.009 |
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| Abstract | This paper considers a distributed secure filtering problem for a category of time-varying system subject to uncertainty and model-reality mismatch, two-stage deception attacks and bandwidth limitation. Both deception attacks between sensor and corresponding estimator and among estimators appear randomly. To alleviate communication burden, a quantization strategy is introduced before transmitting measurement and estimation signals. An event-triggered mechanism is employed for each estimator node thus only necessary data are transmitted to its neighbour sensors when a setting event occurs. The desired target of the problem to be handled is to devise a series of time-varying filters such that the H∞ secure performance is guaranteed against random deception attacks over a finite time horizon. Sufficient conditions ensuring the existence of time-varying filters under effect of complex factors are derived, where filter gains are obtained by finding the solution of a sequence of recursive matrix inequalities online. Simulation results in both numerical example and industrial continuous-stirred tank reactor system are given to show the validity of the presented methodology.
•A novel distributed filtering system in which two-stage deception attacks exist in the communication channels is established.•The quantization strategy and event-triggered protocol are exploited for bandwidth and energy saving filtering system.•For the established secure performance, filter gains are derived by obtaining the solution of matrix inequalities for online application. |
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| AbstractList | This paper considers a distributed secure filtering problem for a category of time-varying system subject to uncertainty and model-reality mismatch, two-stage deception attacks and bandwidth limitation. Both deception attacks between sensor and corresponding estimator and among estimators appear randomly. To alleviate communication burden, a quantization strategy is introduced before transmitting measurement and estimation signals. An event-triggered mechanism is employed for each estimator node thus only necessary data are transmitted to its neighbour sensors when a setting event occurs. The desired target of the problem to be handled is to devise a series of time-varying filters such that the H∞ secure performance is guaranteed against random deception attacks over a finite time horizon. Sufficient conditions ensuring the existence of time-varying filters under effect of complex factors are derived, where filter gains are obtained by finding the solution of a sequence of recursive matrix inequalities online. Simulation results in both numerical example and industrial continuous-stirred tank reactor system are given to show the validity of the presented methodology.
•A novel distributed filtering system in which two-stage deception attacks exist in the communication channels is established.•The quantization strategy and event-triggered protocol are exploited for bandwidth and energy saving filtering system.•For the established secure performance, filter gains are derived by obtaining the solution of matrix inequalities for online application. This paper considers a distributed secure filtering problem for a category of time-varying system subject to uncertainty and model-reality mismatch, two-stage deception attacks and bandwidth limitation. Both deception attacks between sensor and corresponding estimator and among estimators appear randomly. To alleviate communication burden, a quantization strategy is introduced before transmitting measurement and estimation signals. An event-triggered mechanism is employed for each estimator node thus only necessary data are transmitted to its neighbour sensors when a setting event occurs. The desired target of the problem to be handled is to devise a series of time-varying filters such that the H∞ secure performance is guaranteed against random deception attacks over a finite time horizon. Sufficient conditions ensuring the existence of time-varying filters under effect of complex factors are derived, where filter gains are obtained by finding the solution of a sequence of recursive matrix inequalities online. Simulation results in both numerical example and industrial continuous-stirred tank reactor system are given to show the validity of the presented methodology.This paper considers a distributed secure filtering problem for a category of time-varying system subject to uncertainty and model-reality mismatch, two-stage deception attacks and bandwidth limitation. Both deception attacks between sensor and corresponding estimator and among estimators appear randomly. To alleviate communication burden, a quantization strategy is introduced before transmitting measurement and estimation signals. An event-triggered mechanism is employed for each estimator node thus only necessary data are transmitted to its neighbour sensors when a setting event occurs. The desired target of the problem to be handled is to devise a series of time-varying filters such that the H∞ secure performance is guaranteed against random deception attacks over a finite time horizon. Sufficient conditions ensuring the existence of time-varying filters under effect of complex factors are derived, where filter gains are obtained by finding the solution of a sequence of recursive matrix inequalities online. Simulation results in both numerical example and industrial continuous-stirred tank reactor system are given to show the validity of the presented methodology. |
| Author | Yuan, Huanhuan Xia, Yuanqing Guo, Yongzhen |
| Author_xml | – sequence: 1 givenname: Huanhuan orcidid: 0000-0002-7310-1086 surname: Yuan fullname: Yuan, Huanhuan email: yuanhh@nwpu.edu.cn organization: School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, China – sequence: 2 givenname: Yongzhen surname: Guo fullname: Guo, Yongzhen email: yzguo@cstc.org.cn organization: School of Automation, Beijing Institute of Technology, Beijing 100081, China – sequence: 3 givenname: Yuanqing surname: Xia fullname: Xia, Yuanqing email: xia_yuanqing@bit.edu.cn organization: School of Automation, Beijing Institute of Technology, Beijing 100081, China |
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| SubjectTerms | Deception attack Distributed filtering Event-triggered mechanism Quantization Sensor networks |
| Title | Event-based distributed filtering against deception attacks for sensor networks with quantization effect |
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