Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach
We consider security issues in remote state estimation of Cyber-Physical Systems (CPS). A sensor node communicates with a remote estimator through a wireless channel which may be jammed by an external attacker. With energy constraints for both the sensor and the attacker, the interactive decision ma...
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| Published in | IEEE transactions on automatic control Vol. 60; no. 10; pp. 2831 - 2836 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.10.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9286 1558-2523 |
| DOI | 10.1109/TAC.2015.2461851 |
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| Abstract | We consider security issues in remote state estimation of Cyber-Physical Systems (CPS). A sensor node communicates with a remote estimator through a wireless channel which may be jammed by an external attacker. With energy constraints for both the sensor and the attacker, the interactive decision making process of when to send and when to attack is studied. We formulate a game-theoretic framework and prove that the optimal strategies for both sides constitute a Nash equilibrium of a zero-sum game. To tackle the computation complexity issues, we present a constraint-relaxed problem and provide corresponding solutions using Markov chain theory. |
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| AbstractList | We consider security issues in remote state estimation of Cyber-Physical Systems (CPS). A sensor node communicates with a remote estimator through a wireless channel which may be jammed by an external attacker. With energy constraints for both the sensor and the attacker, the interactive decision making process of when to send and when to attack is studied. We formulate a game-theoretic framework and prove that the optimal strategies for both sides constitute a Nash equilibrium of a zero-sum game. To tackle the computation complexity issues, we present a constraint-relaxed problem and provide corresponding solutions using Markov chain theory. |
| Author | Yuzhe Li Quevedo, Daniel E. Peng Cheng Ling Shi Jiming Chen |
| Author_xml | – sequence: 1 surname: Yuzhe Li fullname: Yuzhe Li email: yliah@ust.hk organization: Electron. & Comput. Eng. Dept., Hong Kong Univ. of Sci. & Technol., Kowloon, China – sequence: 2 surname: Ling Shi fullname: Ling Shi email: eesling@ust.hk organization: Electron. & Comput. Eng. Dept., Hong Kong Univ. of Sci. & Technol., Kowloon, China – sequence: 3 surname: Peng Cheng fullname: Peng Cheng email: pcheng@iipc.zju.edu.cn organization: Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China – sequence: 4 surname: Jiming Chen fullname: Jiming Chen email: jmchen@iipc.zju.edu.cn organization: Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China – sequence: 5 givenname: Daniel E. surname: Quevedo fullname: Quevedo, Daniel E. email: dquevedo@ieee.org organization: Sch. of Electron. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia |
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| Snippet | We consider security issues in remote state estimation of Cyber-Physical Systems (CPS). A sensor node communicates with a remote estimator through a wireless... |
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| SubjectTerms | Channels Computer crime Cyber-Physical Systems DoS Jamming Attack Game Theory Games Interactive Jamming Linear programming Markov Chain Nash equilibrium Optimization Remote sensors Remote State Estimation Sensors State estimation Strategy |
| Title | Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach |
| URI | https://ieeexplore.ieee.org/document/7172466 https://www.proquest.com/docview/1717092592 https://www.proquest.com/docview/1825453815 |
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