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A System for Risk Assessment of Privacy Disclosure

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Database Systems for Advanced Applications (DASFAA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12114))

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Abstract

The wide spread and sharing of considerable information promotes the development of many industries such as the health care and so on. However, data owners should pay attention to the problem of privacy preservation during the sharing of data. A risk assessment system is presented in this paper. The system can assess the risk of privacy disclosure due to the sharing of data, and help data owners to evaluate whether it is safe or not to share the data.

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References

  1. OECD guidelines on the protection of privacy and transborder flows of personal data. http://www.oecd.org/sti/ieconomy/oecdguidelinesontheprotectionofprivacyandtransborderflowsofpersonaldata.htm

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  3. Wang, T., et al.: Answering multi-dimensional analytical queries under local differential privacy. In: Proceedings of the SIGMOD Conference, pp. 159–176 (2019)

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  4. Zhou, X., Wang, Z., Wang, Y., Zhu, Y., Li, S., Wang, W.: A privacy leakage evaluation method in data openness based on matrix calculation. Comput. Appl. Softw. 37(1), 298–303 (2020). (in Chinese)

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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. 61732004, No. U1636207 and No. 61572135).

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Authors and Affiliations

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

    Zhihui Wang, Siqin Li, Xuchen Zhou, Yu Wang, Wenbiao Xing, Yun Zhu, Zijing Tan & Wei Wang

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

    Zhihui Wang, Siqin Li, Xuchen Zhou, Yu Wang, Wenbiao Xing, Yun Zhu, Zijing Tan & Wei Wang

Authors
  1. Zhihui Wang
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  2. Siqin Li
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  3. Xuchen Zhou
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  4. Yu Wang
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  5. Wenbiao Xing
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  6. Yun Zhu
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  7. Zijing Tan
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  8. Wei Wang
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Corresponding author

Correspondence to Zhihui Wang .

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Editors and Affiliations

  1. Dankook University, Yongin, Korea (Republic of)

    Yunmook Nah

  2. Peking University, Haidian, China

    Bin Cui

  3. Sungkyunkwan University, Suwon, Korea (Republic of)

    Sang-Won Lee

  4. Department of Systems Engineering and En, The Chinese University of Hong Kong, Hong Kong, Hong Kong

    Jeffrey Xu Yu

  5. Kangwon National University, Chunchon, Korea (Republic of)

    Yang-Sae Moon

  6. Korea Advanced Institute of Science and, Daejeon, Korea (Republic of)

    Steven Euijong Whang

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Cite this paper

Wang, Z. et al. (2020). A System for Risk Assessment of Privacy Disclosure. In: Nah, Y., Cui, B., Lee, SW., Yu, J.X., Moon, YS., Whang, S.E. (eds) Database Systems for Advanced Applications. DASFAA 2020. Lecture Notes in Computer Science(), vol 12114. Springer, Cham. https://doi.org/10.1007/978-3-030-59419-0_59

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  • DOI: https://doi.org/10.1007/978-3-030-59419-0_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59418-3

  • Online ISBN: 978-3-030-59419-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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