Abstract
The Internet of Things brings security issues as well as high connectivity. This paper proposes a security risk decision based on the bounded rationality of users, aiming at the security problems of power Internet of things. First of all, a sparse node cognitive network is constructed for each user. Based on this simplified cognitive network, each user establishes his own security decision by minimizing his own security cost in the real world. These two stages constitute a game-to-game framework. Then the concept of a structured Nash equilibrium (GNE) solution is proposed to solve the game decisions of users in security management under this bounded rationality. At the same time, an iterative algorithm based on the nearest point is designed to calculate GNE. Finally, we analyze the case of intelligent power station in the Internet of Things, and the results show that this algorithm can successfully identify key users. Other users need to consider the decisions of these key users in the security decision-making process, and their own security decisions also reduce each other’s security management costs.
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The authors would like to thank the anonymous reviewers and editor for their comments that improved the quality of this paper. This work is supported by scientific project under Grant NO. 5246DR220010, the name of the project is research and application of the key technology of power 5G lightweight module and management platform.
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Cao, W., Hu, Y., Yang, S., Zhu, Xy., Yu, J. (2023). Security Risk Management of the Internet of Things Based on 5G Technology. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_32
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DOI: https://doi.org/10.1007/978-981-99-3300-6_32
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