Abstract
With the development of the Internet of Things technology and the advent of the 5G era, cloud computing is difficult to meet the requirements of low latency, high reliability, and data security for various application services. The fog computing model newly proposed by researchers in recent years can increase the task processing and data analysis capabilities of network edge devices, so it can reduce the computing load of cloud computing devices and improve the efficiency of data operations. Although fog computing can largely solve existing cloud computing problems, secure access and privacy protection are still a very important and urgent problem to be solved. Aiming at the problem of selecting a relay node to generate a security key under the fog computing model under the fog computing model, this paper proposes a secure relay node selection method based on game theory. In this paper, a fog computing model based on social relationships is constructed. Under this model, a secure relay node selection method based on game theory is designed to realize the selection of relay nodes when a communication link generates a security key. Finally, this paper analyzes the selection efficiency from the two dimensions of total equipment and dynamic changes of terminal equipment. Simulation results show that the method proposed in this paper can quickly select secure relay nodes in the social connection-based fog computing model.
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Acknowledgement
This work was partially supported by the National Natural Science Foundation of China (No. 61801008), National Key R&D Program of China (No. 2018YFB0803600), Beijing Natural Science Foundation National (No. L172049), Scientific Research Common Program of Beijing Municipal Commission of Education (No. KM201910005025).
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Yin, M. et al. (2020). An Efficient Approach for Selecting a Secure Relay Node in Fog Computing Social Ties Network. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12239. Springer, Cham. https://doi.org/10.1007/978-3-030-57884-8_16
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DOI: https://doi.org/10.1007/978-3-030-57884-8_16
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