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Data Security Defense and Algorithm for Edge Computing Based on Mean Field Game
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
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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 theKeywords
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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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Copyright © 2020 The Author(s). Published by Tech Science Press.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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