5G SA network slicing security mapping algorithm based on Bayesian evaluation
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    Abstract:

    The development of 5G network promotes the strategic transformation and upgrading of the vertical industry of the industrial Internet.The 5G SA (Stand-Alone) network sinks the User Plane Function (UPF) into the business area,and retains the control plane in the center of the large area.All business data is accessed through the 5G Multi-access Edge Computing (MEC) interface to the business application server,while all traffic for users to access their own servers is completed internally,which guarantees the network security and minimizes the business path delay.Through the optimized Particle Swarm Optimization (PSO),a fitness function based on network physical node resources and link resources is constructed,in which the Bayesian evaluation is introduced to calculate the physical node isolation factor.The average isolation factor of all nodes is set as the threshold then used as constraint condition to ensure the isolation performance of network slices,and the iterative solution is used to adjust the path resources between network slices to improve network performance.The results of actual 5G network test on smart mine show that the algorithm can increase the revenue-cost ratio by 10%,improve the link utilization rate by 19% and the uplink rate by 20%-50%,which fully guarantees the quality of network service in mining areas.

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JIANG Jianfeng, ZHANG Yunsong, ZHANG Xian, ZHANG Chenxiang, AN Shumei.5G SA network slicing security mapping algorithm based on Bayesian evaluation[J]. Journal of Nanjing University of Information Science & Technology,2022,14(5):527-534

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History
  • Received:December 28,2021
  • Revised:
  • Adopted:
  • Online: September 29,2022
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