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sis 23(4): e1

Research Article

Lightweight Cryptographic Simulation of Power IoT Fused with Bayesian Network Algorithms

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  • @ARTICLE{10.4108/eetsis.v10i3.2970,
        author={Xueqiong Zhu and Chengbo Hu and Yongling Lu and Zhen Wang and Hai Xue},
        title={Lightweight Cryptographic Simulation of Power IoT Fused with Bayesian Network Algorithms},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={10},
        number={4},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={3},
        keywords={bayesian network algorithms, power internet of things, lightweight encryption emulation, iot, cryptographic},
        doi={10.4108/eetsis.v10i3.2970}
    }
    
  • Xueqiong Zhu
    Chengbo Hu
    Yongling Lu
    Zhen Wang
    Hai Xue
    Year: 2023
    Lightweight Cryptographic Simulation of Power IoT Fused with Bayesian Network Algorithms
    SIS
    EAI
    DOI: 10.4108/eetsis.v10i3.2970
Xueqiong Zhu1,*, Chengbo Hu1, Yongling Lu1, Zhen Wang1, Hai Xue1
  • 1: State Grid Jiangsu Electric Power Company Ltd. Research Institute, Jiangsu, China
*Contact email: xiaohuiwang2023@gmail.com

Abstract

In the power system, the transmission and processing of information is a very important link, and the core part of it is electronic data, and the transmission and processing of electronic data is the most important link in the power system. Because information is continuously passed between network nodes, the security requirements for information are high. With the development of Internet technology, its application field has been widely expanded to various industries. Therefore, to better ensure power quality and improve network operation efficiency, it is necessary to rationally and effectively manage the entire communication system. Power Internet of Things technology combines information transmission and processing links and realizes data sharing between various communication nodes in the entire network system through intelligent management, thereby improving overall information security. This paper first introduces the research of Bayesian network algorithm, then studies the process of lightweight encryption implementation of power Internet of Things, and then simulates and compares various encryption algorithms to obtain the best encryption scheme, and finally verifies through simulation that the algorithm can effectively ensure the safe transmission of information and improve the efficiency of network operation.

Keywords
bayesian network algorithms, power internet of things, lightweight encryption emulation, iot, cryptographic
Received
2023-01-02
Accepted
2023-02-03
Published
2023-03-29
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.v10i3.2970

Copyright © 2023 Xueqiong Zhu et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NCSA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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