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Mean Field Games Theoretic for Mobile Privacy Security Enhancement in Edge Computing

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Abstract

Edge computing paradigm extends the cloud service to the edge of networks and reduces service latency to edge users. Meanwhile, the characteristics of edge computing, such as mobility and heterogeneity, arise new privacy security challenges. Current research on privacy security relies on information security techniques like encryption and anonymization. In this paper, we present an application of mean field game theory for privacy leakage with large scale edge devices in edge computing because the edge devices are resource constrained. The contributions are threefold: first, we construct an individual cost function with a mean field term and discuss the evolution of the state if the number of devices is large enough. Subsequently, we elaborate the Nash equilibrium of the mean field game models which are coupled through the Hamiltonian–Jacobi–Bellman (HJB) backward and Fokker–Planck–Kolmogorov (FPK) forward equations. In addition, an approximate method is introduced to analyze the stable solution of the state. Finally, numerical examples are provided to illustrate the stability of the state and the presented strategy.

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Acknowledgements

We gratefully acknowledge the anonymous reviewers who read the drafts and made many helpful suggestions. This work is supported by the National Science Foundation Project of P. R. China (Nos. 61501026 and 1603116), the Foundation of Science and Technology on Information Assurance Laboratory (No. KJ-17-101).

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Authors and Affiliations

  1. Department of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, People’s Republic of China

    Li Miao, Lina Wang, Shuai Li & Xianwei Zhou

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  1. Li Miao
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  2. Lina Wang
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  3. Shuai Li
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  4. Xianwei Zhou
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Correspondence to Li Miao.

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Miao, L., Wang, L., Li, S. et al. Mean Field Games Theoretic for Mobile Privacy Security Enhancement in Edge Computing. Wireless Pers Commun 111, 2045–2063 (2020). https://doi.org/10.1007/s11277-019-06971-1

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