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A Data Publishing System Based on Privacy Preservation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11448))

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Abstract

For data openness and sharing, we need to publish data and protect sensitive data at the same time. This paper provides the users with a system to realize privacy-preserving data publishing, which is implemented based on differential privacy. It has the following characteristics: (1) the raw data are first imported into a database and then are used to generate synthetic data for publishing; (2) a user can choose different privacy preservation levels for the synthetic data; (3) a subset of the attributes can been chosen to be synthesized while keeping the others untouched.

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Acknowledgments

This work is supported in part by Shanghai Science and Technology Development Fund (No. 16JC1400801), and National Natural Science Foundation of China (No. 61572135, No. 61772138 and No. U1636207).

Author information

Authors and Affiliations

  1. School of Computer Science, Fudan University, Shanghai, China

    Zhihui Wang, Yun Zhu & Xuchen Zhou

  2. Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China

    Zhihui Wang, Yun Zhu & Xuchen Zhou

Authors
  1. Zhihui Wang
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  2. Yun Zhu
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  3. Xuchen Zhou
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Corresponding author

Correspondence to Zhihui Wang .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Guoliang Li

  2. Duke University, Durham, NC, USA

    Jun Yang

  3. University of Porto, Porto, Portugal

    Joao Gama

  4. Chiang Mai University, Chiang Mai, Thailand

    Juggapong Natwichai

  5. Beihang University, Beijing, China

    Yongxin Tong

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Wang, Z., Zhu, Y., Zhou, X. (2019). A Data Publishing System Based on Privacy Preservation. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds) Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science(), vol 11448. Springer, Cham. https://doi.org/10.1007/978-3-030-18590-9_85

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  • DOI: https://doi.org/10.1007/978-3-030-18590-9_85

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-18589-3

  • Online ISBN: 978-3-030-18590-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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