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Data Security Defense and Algorithm for Edge Computing Based on Mean Field Game

Chengshan Qian1,2, Xue Li1,*, Ning Sun2, Yuqing Tian1

1 School of Automation, Nanjing University of Information Science & Technology, Nanjing, 210044, China
2 Binjiang College, Nanjing University of Information Science & Technology, Wuxi, 214105, China

* Corresponding Author: Xue Li. Email: email

Journal of Cyber Security 2020, 2(2), 97-106. https://doi.org/10.32604/jcs.2020.010548

Abstract

With the development of the Internet of Things, the edge devices are increasing. Cyber security issues in edge computing have also emerged and caused great concern. We propose a defense strategy based on Mean field game to solve the security issues of edge user data during edge computing. Firstly, an individual cost function is formulated to build an edge user data security defense model. Secondly, we research the

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APA Style
Qian, C., Li, X., Sun, N., Tian, Y. (2020). Data security defense and algorithm for edge computing based on mean field game. Journal of Cyber Security, 2(2), 97-106. https://doi.org/10.32604/jcs.2020.010548
Vancouver Style
Qian C, Li X, Sun N, Tian Y. Data security defense and algorithm for edge computing based on mean field game. J Cyber Secur . 2020;2(2):97-106 https://doi.org/10.32604/jcs.2020.010548
IEEE Style
C. Qian, X. Li, N. Sun, and Y. Tian "Data Security Defense and Algorithm for Edge Computing Based on Mean Field Game," J. Cyber Secur. , vol. 2, no. 2, pp. 97-106. 2020. https://doi.org/10.32604/jcs.2020.010548

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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