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EkCRNN: A kNN Privacy Preserving Query Algorithm Based on Circular Region Extension

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Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11065))

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Abstract

In location based services, users can request interesting services around them at any time and anywhere through mobile devices. They need to send their locations to get the service, which may cause the disclosure of their location privacy. In order to protect the location privacy, a typical way is to convert the specific location into a location area. After finding the interest points around the region, the server needs to refine the result set to get the exact result of the query. In this article, we extended the existing kNN query algorithm based on the circular region, and proposed an algorithm called EkCRNN. This algorithm used an anonymous server to exchange information between the user and the LBS server. We compared two algorithms through experiments, and the experimental results show that our algorithm has higher accuracy.

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Acknowledgement

This work was supported in part by National Science Foundation of China (No. 61572259, No. U1736105) and Special Public Sector Research Program of China (No. GYHY201506080) and was also supported by PAPD.

This research project was supported by a grant from the Research Center of the Female Scientific and Medical Colleges, Deanship of Scientific Research, King Saud University.

Author information

Authors and Affiliations

  1. School of Computer Software, Nanjing University of Information Science and Technology, Nanjing, 210-044, Jiangsu, China

    Honghao Zhou, Tinghuai Ma & Jing Jia

  2. CICAEET, Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science and Technology, Nanjing, 210-044, Jiangsu, China

    Tinghuai Ma

  3. Computer Science Department, College of Computer and Information Sciences, KingSaud University, Riyadh, 11362, Saudi Arabia

    Yuan Tian & Mznah Al-Rodhaan

Authors
  1. Honghao Zhou
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  2. Tinghuai Ma
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  3. Jing Jia
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  4. Yuan Tian
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  5. Mznah Al-Rodhaan
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Corresponding author

Correspondence to Tinghuai Ma .

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Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Department of Computer Science, Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Zhou, H., Ma, T., Jia, J., Tian, Y., Al-Rodhaan, M. (2018). EkCRNN: A kNN Privacy Preserving Query Algorithm Based on Circular Region Extension. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11065. Springer, Cham. https://doi.org/10.1007/978-3-030-00012-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-00012-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00011-0

  • Online ISBN: 978-3-030-00012-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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