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Privacy Preserving for Network Coding in Smart Grid

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Algorithms and Architectures for Parallel Processing (ICA3PP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9530))

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Abstract

In smart grid, privacy implications to individuals and their family is an important issue, due to the fine-grained usage data collection. Wireless communications are considered by many utility companies to obtain information. Network coding is exploited in smart grids, to enhance network performance in terms of throughput, delay, robustness, and energy consumption. However, Network Coding introduces new challenge for privacy preserving due to the encoding of packet in forwarder nodes. We propose a distributed privacy preserving scheme for network coding in smart grid, which considers the converged flows character of smart grid and exploits a homomorphic encryption function to decrease the complex in forwarder node. The message content of packet is encrypted and the tag of packet is encrypted by homomorphic encryption function. Then the forwarder node linear random codes the encrypted message contents and directly processes the tags cryptotext based on the homomorphism feature. It offers message content confidentiality privacy preserving feature, which can efficiently thwart traffic analysis. Extensive security analysis and performance evaluations demonstrate the validity and efficiency of the proposed scheme.

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Acknowledgments

This work was supported by National Natural Science Foundation of China (61303045, 61572184, Key Program 71331001, 71420107027), the Prospective Research Project on Future Networks (Jiangsu Future Networks Innovation Institute) under Grant No. BY2013095-4-06.

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Authors and Affiliations

  1. Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, School of Computer and Communication Engineering, Hunan Province Engineering Research Center of Electric Transportation and Smart Distributed Network, Changsha University of Science and Technology, Changsha, 410114, China

    Shiming He

  2. The 716th Research Institute, China Shipbuilding Industry Corporation, Lianyungang, 222061, China

    Weini Zeng

  3. College of Computer Science and Electronics Engineering, Hunan University, Changsha, 410082, China

    Kun Xie

  4. Department of Electrical and Computer Engineering, State University of New York at Stony Brook, New York, USA

    Kun Xie

Authors
  1. Shiming He
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  2. Weini Zeng
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  3. Kun Xie
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Corresponding author

Correspondence to Shiming He .

Editor information

Editors and Affiliations

  1. Central South University, Changsha, China

    Guojun Wang

  2. The University of Sydney, Sydney, New South Wales, Australia

    Albert Zomaya

  3. University of Murcia, Murcia, Murcia, Spain

    Gregorio Martinez

  4. Hunan University, Changsha, China

    Kenli Li

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He, S., Zeng, W., Xie, K. (2015). Privacy Preserving for Network Coding in Smart Grid. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9530. Springer, Cham. https://doi.org/10.1007/978-3-319-27137-8_46

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  • DOI: https://doi.org/10.1007/978-3-319-27137-8_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27136-1

  • Online ISBN: 978-3-319-27137-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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