Recursive Secure Filtering Over Gilbert-Elliott Channels in Sensor Networks: The Distributed Case Article Swipe
Derui Ding
,
Zidong Wang
,
Qing‐Long Han
,
Xian‐Ming Zhang
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/tsipn.2020.3046220
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/tsipn.2020.3046220
This paper is concerned with the recursive secure filtering problem for a class of discrete-time nonlinear stochastic systems subject to unreliable communication due to the security vulnerability of sensor networks. The unreliable communication, caused probably by denial-of-service cyber attacks, is described by the well-known Gilbert-Elliott model. The addressed nonlinearities are applicable for some of the most investigated stochastic nonlinear models, including the well-known state-dependent multiplicative noises as special cases. The aim of this paper is to design a novel distributed filter that uses the information not only from the individual node itself but also from its neighboring nodes according to the given topology. In order to improve the security of designed filter, a $\\chi^2$ detector is utilized to detect abnormal innovations. By means of the failure and recovery rates of the Gilbert-Elliott channels, sufficient conditions are established to ensure the existence of an upper bound on the estimation error covariance, and then the desired filter parameters are designed by minimizing the trace of such an upper bound. The asymptotic boundedness of the estimation error covariance is subsequently investigated. Finally, a simulation example on the target tracking problem is employed to verify the effectiveness and the security of the proposed filtering scheme.
Related Topics
Concepts
Computer science
Upper and lower bounds
Node (physics)
Filter (signal processing)
Filtering problem
Covariance
Multiplicative function
Algorithm
Theoretical computer science
Mathematics
Topology (electrical circuits)
Mathematical optimization
Filter design
Statistics
Combinatorics
Engineering
Computer vision
Structural engineering
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tsipn.2020.3046220
- OA Status
- green
- Cited By
- 16
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3115375036
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3115375036Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tsipn.2020.3046220Digital Object Identifier
- Title
-
Recursive Secure Filtering Over Gilbert-Elliott Channels in Sensor Networks: The Distributed CaseWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-12-22Full publication date if available
- Authors
-
Derui Ding, Zidong Wang, Qing‐Long Han, Xian‐Ming ZhangList of authors in order
- Landing page
-
https://doi.org/10.1109/tsipn.2020.3046220Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://bura.brunel.ac.uk/bitstream/2438/22166/1/FullText.pdfDirect OA link when available
- Concepts
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Computer science, Upper and lower bounds, Node (physics), Filter (signal processing), Filtering problem, Covariance, Multiplicative function, Algorithm, Theoretical computer science, Mathematics, Topology (electrical circuits), Mathematical optimization, Filter design, Statistics, Combinatorics, Engineering, Computer vision, Structural engineering, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 5, 2023: 4, 2022: 3, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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41Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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