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Journal of Computer Science and Technology

, Volume 34, Issue 2, pp 272–286 | Cite as

Improving Data Utility Through Game Theory in Personalized Differential Privacy

  • Lei Cui
  • Youyang Qu
  • Mohammad Reza Nosouhi
  • Shui Yu
  • Jian-Wei Niu
  • Gang XieEmail author
Regular Paper
  • 17 Downloads

Abstract

Due to dramatically increasing information published in social networks, privacy issues have given rise to public concerns. Although the presence of differential privacy provides privacy protection with theoretical foundations, the trade-off between privacy and data utility still demands further improvement. However, most existing studies do not consider the quantitative impact of the adversary when measuring data utility. In this paper, we firstly propose a personalized differential privacy method based on social distance. Then, we analyze the maximum data utility when users and adversaries are blind to the strategy sets of each other. We formalize all the payoff functions in the differential privacy sense, which is followed by the establishment of a static Bayesian game. The trade-off is calculated by deriving the Bayesian Nash equilibrium with a modified reinforcement learning algorithm. The proposed method achieves fast convergence by reducing the cardinality from n to 2. In addition, the in-place trade-off can maximize the user’s data utility if the action sets of the user and the adversary are public while the strategy sets are unrevealed. Our extensive experiments on the real-world dataset prove the proposed model is effective and feasible.

Keywords

personalized privacy protection game theory trade-off reinforcement learning 

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Copyright information

© Springer Science+Business Media, LLC & Science Press, China 2019

Authors and Affiliations

  • Lei Cui
    • 1
    • 2
  • Youyang Qu
    • 2
  • Mohammad Reza Nosouhi
    • 3
  • Shui Yu
    • 3
  • Jian-Wei Niu
    • 4
  • Gang Xie
    • 1
    • 5
    Email author
  1. 1.College of Information and ComputerTaiyuan University of TechnologyTaiyuanChina
  2. 2.School of Information TechnologyDeakin UniversityMelbourneAustralia
  3. 3.School of SoftwareUniversity of Technology SydneySydneyAustralia
  4. 4.School of Computer Science and EngineeringBeihang UniversityBeijingChina
  5. 5.Shanxi Key Laboratory of Advanced Control and Intelligent Information SystemTaiyuan University of Science and TechnologyTaiyuanChina

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