Application of PSO optimization algorithm in power communication network security situation prediction

Meng Xu; Xuewu Li; Shenghan Liu

doi:10.1117/12.3006175

10 October 2023 Application of PSO optimization algorithm in power communication network security situation prediction

Meng Xu, Xuewu Li, Shenghan Liu

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127994F (2023) https://doi.org/10.1117/12.3006175
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

In order to improve the accuracy and convergence speed of power communication network security situation prediction, we introduced an optimization method called Particle Swarm Optimization (PSO) algorithm. This study applied the PSO algorithm to predict the security situation of power communication networks and achieved significant results. Firstly, we adopted the PSO computing framework, which has the characteristics of memory computing and quasi real-time processing, making it very suitable for the needs of big data processing in power communication. This framework can efficiently process large-scale data, enabling prediction algorithms to complete calculations in a relatively short time. Secondly, we propose a PSO optimization algorithm to correct the weights of the neural network. Through the iterative process of the PSO algorithm, we can find better weight combinations, thereby improving the learning efficiency and accuracy of the neural network. In order to further improve computational efficiency, we also propose a parallel PSO optimized neural network algorithm, which enables computation to be carried out simultaneously on multiple processing units, accelerating the entire prediction process. Finally, through experimental comparison, we conclude that the prediction method based on PSO optimization algorithm has higher accuracy. Compared with traditional Hadoop based prediction methods, there is also a significant improvement in processing speed. This means that we can quickly obtain accurate predictions of the security situation of the power communication network, providing better support for the management and decision-making of the power communication system.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Meng Xu, Xuewu Li, and Shenghan Liu "Application of PSO optimization algorithm in power communication network security situation prediction", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127994F (10 October 2023); https://doi.org/10.1117/12.3006175

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KEYWORDS

Network security

Particle swarm optimization

Data communications

Computer security

Telecommunications

Mathematical optimization

Information security

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