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Clustering-Anonymization-Based Differential Location Privacy Preserving Protocol in WSN

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Big Data (BigData 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1120))

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Abstract

Playing a vital role in the period of big data and intelligent life, wireless sensor networks (WSN) transmits a bulk of data. Location information as the vital data in transmission is widely used in detecting and routing for the network. With the big data mining and analysis, the security of location and data privacy in WSN faces great challenges. To the problem of active attacking like node capture in wireless sensor network node location privacy, existing location privacy preserving protocols are analyzed and Differential Location Privacy protocol based on Clustering Anonymization is proposed. By sensor nodes clustering using genetic clustering algorithm, the individual location is hidden in the statistical location information of the group. The Laplace Mechanism is also added to the protocol to realize differential location privacy. Node location privacy in WSN is preserved as well as privacy preserving budget is saved. The result of theoretical analysis and contrastive simulation experience shows that the protocol can be useful.

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Authors and Affiliations

  1. Department of Information Security, Naval University of Engineering, Wuhan, 430033, China

    Ren-ji Huang, Qing Ye & Mo-Ci Li

Authors
  1. Ren-ji Huang
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  2. Qing Ye
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  3. Mo-Ci Li
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Corresponding author

Correspondence to Ren-ji Huang .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Hai Jin

  2. East China Normal University, Shanghai, China

    Xuemin Lin

  3. Chinese Academy of Sciences, Beijing, China

    Xueqi Cheng

  4. Huazhong University of Science and Technology, Wuhan, China

    Xuanhua Shi

  5. National University of Defense Technology, Changsha, China

    Nong Xiao

  6. Nanjing University, Nanjing, China

    Yihua Huang

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© 2019 Springer Nature Singapore Pte Ltd.

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Huang, Rj., Ye, Q., Li, MC. (2019). Clustering-Anonymization-Based Differential Location Privacy Preserving Protocol in WSN. In: Jin, H., Lin, X., Cheng, X., Shi, X., Xiao, N., Huang, Y. (eds) Big Data. BigData 2019. Communications in Computer and Information Science, vol 1120. Springer, Singapore. https://doi.org/10.1007/978-981-15-1899-7_13

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  • DOI: https://doi.org/10.1007/978-981-15-1899-7_13

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1898-0

  • Online ISBN: 978-981-15-1899-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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