Temporal convex combination‐based secure distributed estimation against cyberattacks and noisy input Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1049/ell2.13156
This paper proposes a new secure distributed estimation for cyber‐physical systems against adversarial attacks with noisy input. To mitigate the effect of attacks, a novel distributed attack detection based on a reliable reference estimation obtained by temporal convex combination is proposed. Furthermore, for more effective and robust performance, an adaptation rule to adjust convex combination weights is presented, in which the generalized correntropy method with nonlinear loss function and stochastic gradient descent are utilized. Besides, to eliminate input noise, a bias‐compensation method in local adaptation of the secure distributed estimation is proposed. Simulations show superior dynamic and real‐time adaptability of the proposed algorithm under complex attacking scenarios.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/ell2.13156
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ell2.13156
- OA Status
- gold
- Cited By
- 1
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393003931
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393003931Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/ell2.13156Digital Object Identifier
- Title
-
Temporal convex combination‐based secure distributed estimation against cyberattacks and noisy inputWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-01Full publication date if available
- Authors
-
Zhanxi Zhang, Lijuan Jia, Senran Peng, Zi‐Jiang Yang, Ran TaoList of authors in order
- Landing page
-
https://doi.org/10.1049/ell2.13156Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ell2.13156Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/ell2.13156Direct OA link when available
- Concepts
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Computer science, Noise (video), Adaptability, Adaptation (eye), Compensation (psychology), Stochastic gradient descent, Function (biology), Convex function, Adversarial system, Gradient descent, Regular polygon, Algorithm, Artificial intelligence, Mathematics, Artificial neural network, Psychoanalysis, Physics, Image (mathematics), Psychology, Biology, Evolutionary biology, Geometry, Ecology, OpticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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