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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:

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

Received 09 March 2020; Accepted 28 June 2020; Issue published 14 July 2020

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

Keywords

Edge computing; mean field game; cyber security

Cite This Article

C. Qian, X. Li, N. Sun and Y. Tian, "Data security defense and algorithm for edge computing based on mean field game," Journal of Cyber Security, vol. 2, no.2, pp. 97–106, 2020.

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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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