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Semantic-Aware Location Privacy Preservation on Road Networks

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Database Systems for Advanced Applications (DASFAA 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9643))

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Abstract

In this paper, we address the topic of location privacy preservation of mobile users on road networks. Most existing techniques of privacy preservation rely on structure-based spatial cloaking, but pay little attention to location semantic information. Yet, location semantic information may disclose sensitive information about mobile users. Thus, we propose CloSed, a semantic-awareness privacy preservation model to protect users’ privacy from violation. We design cloaked sets that should cover different semantic regions of road networks as well as satisfy quality of service (QoS). As the problem of calculating the optimal cloaked set is NP-hard, we design a greedy algorithm that balances QoS and privacy requirements. Extensive experiments evaluations demonstrate the efficiency and effectiveness of our proposed algorithm in providing privacy guarantees on large real-world datasets.

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Notes

  1. 1.

    http://www.cs.utah.edu/~lifeifei/SpatialDataset.htm.

  2. 2.

    http://www.fh-oow.de/institute/iapg/personen/brinkhoff.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China under Grant Nos. 61572119, 61173029, 61332006, 61332014, 61328202, 61502317 and U1401256.

Author information

Authors and Affiliations

  1. Northeastern University, Shenyang, China

    Yanhui Li, Ye Yuan & Guoren Wang

  2. Hong Kong University of Science and Technology, Hong Kong, China

    Lei Chen

  3. Shenyang Aerospace University, Shenyang, China

    Jiajia Li

Authors
  1. Yanhui Li
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  2. Ye Yuan
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  3. Guoren Wang
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  4. Lei Chen
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  5. Jiajia Li
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Corresponding author

Correspondence to Yanhui Li .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology , Atlanta, Georgia, USA

    Shamkant B. Navathe

  2. University of Texas at Dallas , Richardson, Texas, USA

    Weili Wu

  3. University of Minnesota , Minneapolis, Minnesota, USA

    Shashi Shekhar

  4. Renmin University , Beijing, China

    Xiaoyong Du

  5. Fudan University , Shanghai, China

    Sean X. Wang

  6. Rutgers, The State University of New Jer , New Brunswick, New Jersey, USA

    Hui Xiong

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Li, Y., Yuan, Y., Wang, G., Chen, L., Li, J. (2016). Semantic-Aware Location Privacy Preservation on Road Networks. In: Navathe, S., Wu, W., Shekhar, S., Du, X., Wang, S., Xiong, H. (eds) Database Systems for Advanced Applications. DASFAA 2016. Lecture Notes in Computer Science(), vol 9643. Springer, Cham. https://doi.org/10.1007/978-3-319-32049-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-32049-6_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32048-9

  • Online ISBN: 978-3-319-32049-6

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