Security Isolation Algorithm of 5G Network Slice Based on Particle Swarm Optimization

Authors

  • Yang Su Power Dispatching and Control Centre, China Southern Power Grid, Guangzhou 510000, Guangdong, China
  • Yang Cao Power Dispatching and Control Centre, China Southern Power Grid, Guangzhou 510000, Guangdong, China
  • Wenwei Tao Power Dispatching and Control Centre, China Southern Power Grid, Guangzhou 510000, Guangdong, China
  • Wenzhe Zhang School of Computer Science and Engineering, South China University of Technology, Guangzhou 510000, Guangdong, China

Abstract

Network slicing, an important feature of 5G (Fifth Generation of Mobile Communications Technology), is widely used in various business scenarios, and it has become increasingly important to address the accompanying security isolation problem. Different network slicing needs to handle different types of data traffic, and there are strict requirements for the security guarantee of each network slicing. In this paper, a 5G network slice security isolation algorithm based on particle swarm optimization, is proposed. This study analyzed the security requirements of different vertical industries for network slicing, including resource isolation and communication privacy protection, and designed a resource allocation model suitable for 5G network slicing, taking into account the security isolation requirements and resource competition relationships of different slicing. Finally, based on
the communication strategy optimization method using particle swarm optimization, a 5G network slice test was carried out on a front-line intelligent city system to ensure the communication privacy and security between slices. The experimental results showed that the average bandwidth utilization rate of the 5G network slice security isolation algorithm based on particle swarm optimization was 85%; the effect benefit ratio was 90%, and the average delay was 20 milliseconds. The average bandwidth utilization without optimization scheme was 70%; the cost-effectiveness ratio was 69%, and the average delay was 36 milliseconds. These results showed that particle swarm optimization provided 5G network slice security isolation
algorithm with better security performance, faster response speed, lower resource consumption, and stronger robustness and resilience. This algorithm can effectively improve the security and performance of a 5G network slice, and provide users with more reliable services.

Keywords: network slicing; particle swarm optimization; security isolation algorithm; 5G network; resource isolation

Cite As

Y. Su, Y. Cao, W. Tao, W. Zhang, "Security Isolation Algorithm of 5G Network Slice Based
on Particle Swarm Optimization", Engineering Intelligent Systems, vol. 30 no. 4, pp. 319-328, 
2024.

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Published

2024-07-01

Issue

Vol. 32 No. 4 (2024): International Journal of Engineering Intelligent Systems

Section

Article

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