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Defending jamming attack in wide-area monitoring system for smart grid

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Abstract

Smart Grid is a promising technology to efficiently manage the power use, transmission and production. An efficient and dependable smart power grid relies on the secure and reliable real-time data collection and transmission service provided by an underlying backbone communication network. Cognitive radio network is an emerging wireless communication technology that fits communication needs in smart grid. However, the cognitive radio is vulnerable to jamming attacks that can disturb the real time communication. The loss of the timely information from the remotely distributedly deployed sensors can cause the loss of control of the system. In this paper, we focus on the availability of the communication services provided by the cognitive radio nodes deployed over the smart grid. We consider the jamming attacks to this wireless network. We propose to defeat the jamming attacks by introducing the combined online optimization and linear programming to the smart grid to enable the system to heal automatically from the jamming attack.

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Acknowledgments

This work was supported in part by CNS-1457506, CNS-1359557, and NSF CNS-1249223; State Key Laboratory of Software Development Environment Grant BUAA SKLSDE-2012ZX-17, NSFC 61170296, NSFC 60873241, NSFC 61190120, New Century Excellent Talents in University NECT-09-0028; NSFC 61170077, SZ-HK Innovation Circle proj. ZYB200907060012A, NSFC Guangdong:10351806001000000, S & T proj. of SZ JC200903120046A; NSFC 61070002 and MOE-INTEL-10-02; NSF CNS-0915762 (CSR), CCF-08452578 (CAREER), CNS-0917137 (CSR).

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Authors and Affiliations

  1. State Key Laboratory of Software Development Environment, Beihang University, Beijing, 100191, China

    Jianwei Niu

  2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 310027, GD, China

    Zhong Ming

  3. Department of Computer Science, Pace University, New York City, NY, 10038, USA

    Meikang Qiu

  4. Department of Electrical and Computer Engineering, University of Kentucky, Lexington, 40506, KY, USA

    Hai Su

  5. College of Computer Science, Zhejiang University, Hangzhou, 310027, China

    Zonghua Gu

  6. Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, 36849, USA

    Xiao Qin

Authors
  1. Jianwei Niu
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  2. Zhong Ming
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  3. Meikang Qiu
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  4. Hai Su
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  5. Zonghua Gu
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  6. Xiao Qin
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Correspondence to Zhong Ming.

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Niu, J., Ming, Z., Qiu, M. et al. Defending jamming attack in wide-area monitoring system for smart grid. Telecommun Syst 60, 159–167 (2015). https://doi.org/10.1007/s11235-014-9930-3

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  • DOI: https://doi.org/10.1007/s11235-014-9930-3

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