Abstract
In order to solve the problems of low efficiency and insecurity in the analysis of heterogeneous network resources, this paper proposes a blockchain-based efficient management and analysis mechanism for power Internet of Things resources to realize the on-chain identification of heterogeneous network resources and off-chain data. Efficient and reliable management supports the aggregation and sharing of heterogeneous network resources. First of all, in order to achieve reliable and efficient access to heterogeneous network resource identification, an architecture model of a heterogeneous network identification analysis system is proposed. Secondly, in order to improve the efficiency of resource management and analysis, a resource registration process and analysis process are designed. The registration process of heterogeneous network resources includes four key steps: applying for registered resources, generating identification for user resources, sending a registration identification request, and identification registration. In order to improve the efficiency and reliability of authentication control, an attribute-based access control strategy is proposed to control the authentication of the gateway. In the experimental part, in order to verify the correctness of the analytical results, the analytical results of the algorithm in this paper are compared with the preset results. From the three dimensions of heterogeneous network resources exceeding the effective service time, not being allowed to be accessed, and the absence of resource identification, the correctness of the analytical results is verified.
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Acknowledgement
This work is supported by the science and technology project of State Grid Corporation of China “Research and application of dynamic access control technology for power Internet of things based on business scenarios” (Grand No. 5700-202013189A-0-0-00).
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Chen, L., Xin, R., Cheng, K., Lin, J., Guo, S. (2022). Efficient Management and Analysis Mechanism of Power Internet of Things Resources Based on Blockchain. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13339. Springer, Cham. https://doi.org/10.1007/978-3-031-06788-4_46
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DOI: https://doi.org/10.1007/978-3-031-06788-4_46
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