Distributed H\infty Secure Fusion Estimation for Energy-Constrained Multi-Sensor Systems Under Hybrid Attacks
This paper investigates the distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation problem for energy-constrained multi-sensor systems subject to hybrid attacks. Given the limited energy supply, sensor...
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| Published in | IEEE transactions on signal and information processing over networks Vol. 11; pp. 994 - 1004 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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IEEE
2025
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| Online Access | Get full text |
| ISSN | 2373-776X 2373-7778 |
| DOI | 10.1109/TSIPN.2025.3594164 |
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| Abstract | This paper investigates the distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation problem for energy-constrained multi-sensor systems subject to hybrid attacks. Given the limited energy supply, sensor nodes operate in two modes: high-energy mode, which ensures robust security during information transmission, and low-energy mode, which makes transmissions more vulnerable to hybrid attacks. The phenomenon of hybrid attacks is described as the stochastic occurrence of false data injection (FDI) and denial-of-service (DoS) attacks in the communication channels from sensors to local estimators. To handle these challenges, we propose a novel distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation model designed specifically for energy-constrained multi-sensor systems under hybrid attacks scenarios. Subsequently, sufficient conditions are derived to ensure that the secure fusion estimation error system achieves exponential mean-square stability and <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> performance level. Additionally, the design of optimal fusion weight matrices is addressed. Finally, the effectiveness of the proposed distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation method is demonstrated through an illustrative example. |
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| AbstractList | This paper investigates the distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation problem for energy-constrained multi-sensor systems subject to hybrid attacks. Given the limited energy supply, sensor nodes operate in two modes: high-energy mode, which ensures robust security during information transmission, and low-energy mode, which makes transmissions more vulnerable to hybrid attacks. The phenomenon of hybrid attacks is described as the stochastic occurrence of false data injection (FDI) and denial-of-service (DoS) attacks in the communication channels from sensors to local estimators. To handle these challenges, we propose a novel distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation model designed specifically for energy-constrained multi-sensor systems under hybrid attacks scenarios. Subsequently, sufficient conditions are derived to ensure that the secure fusion estimation error system achieves exponential mean-square stability and <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> performance level. Additionally, the design of optimal fusion weight matrices is addressed. Finally, the effectiveness of the proposed distributed <inline-formula><tex-math notation="LaTeX">H_{\infty }</tex-math></inline-formula> secure fusion estimation method is demonstrated through an illustrative example. |
| Author | Chen, Linyi Yu, Li Song, Haiyu Chen, Bo Zhang, Wen-An |
| Author_xml | – sequence: 1 givenname: Haiyu orcidid: 0000-0003-4772-2855 surname: Song fullname: Song, Haiyu email: haiyusong@gmail.com organization: School of Information Technology and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou, China – sequence: 2 givenname: Linyi orcidid: 0009-0005-7466-0313 surname: Chen fullname: Chen, Linyi organization: School of Information Technology and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou, China – sequence: 3 givenname: Bo orcidid: 0000-0001-6150-3881 surname: Chen fullname: Chen, Bo organization: Department of Automation, Zhejiang University of Technology, Hangzhou, China – sequence: 4 givenname: Wen-An orcidid: 0000-0002-4355-2783 surname: Zhang fullname: Zhang, Wen-An organization: Department of Automation, Zhejiang University of Technology, Hangzhou, China – sequence: 5 givenname: Li orcidid: 0000-0003-3889-3863 surname: Yu fullname: Yu, Li organization: Department of Automation, Zhejiang University of Technology, Hangzhou, China |
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| SubjectTerms | Costs energy constraints Energy consumption Estimation Estimation error hybrid attacks Information processing multi-sensor systems Noise Power system stability Secure fusion estimation Security State estimation Stochastic processes |
| Title | Distributed H\infty Secure Fusion Estimation for Energy-Constrained Multi-Sensor Systems Under Hybrid Attacks |
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