A Secure Computing Offload Approach for Power Services Based on 5G Edge Computing

The integration of 5G and energy Internet has enriched the type of electric power business and improved the quality of electric power business bearing. The power business under the new situation puts forward higher requirements on the communication delay and data security of 5G network. A power multi-service computational offloading method with the assistance of data security transmission is proposed. First, the communication model, computational offloading model and security model under 5G edge computing scenario are constructed, followed by the establishment of computational offloading and resource allocation strategy optimization function for business requirements, and finally, an improved offloading algorithm based on quantum evolutionary algorithm is proposed to solve the problem. The simulation results show that the proposed service offloading method can reduce the total system overhead as much as possible while ensuring security, effectively improving the security problem and service delay optimization problem brought by the open 5G capability, and comparing with the offloading strategies proposed in two related works, the results prove that the proposed improved offloading algorithm based on quantum evolutionary algorithm can effectively reduce the system energy consumption and delay.

I. Introduction

The deep integration of energy internet and 5G drives the digital development of the grid and enhances the intelligence of the grid. Due to the increasing number of underlying business terminals and the popularity of intelligent inspection robots, data transmission is constantly increasing. If all data is sent to the cloud for processing, it will lead to increased latency and energy consumption, but with the development of mobile edge computing [1] and the open capability nature of 5G [2], these problems can be solved using local offloading and shunting techniques for edge computing based on the sinking of 5G user-plane.The tasks of local devices are transferred to the corresponding edge servers for computation through computational offloading, which solves the problems of prolonged task processing and unreasonable resource al-location in cloud computing. In addition, the introduction of mobile edge computing and open 5G network capabilities can bring better terminal monitoring capabilities, higher quality of power services, and better power communication networks to the smart grid though. However, it brings in a series of problems in terms of security, and the distributed deployment of edge servers makes it more difficult to protect the commu-nication security. In a multi-power end-user but edge server system, there may be malicious eavesdroppers infiltrating and eavesdropping and tampering with users' data causing power communications to not function properly. Therefore, designing a 5G edge computing system based on security mechanisms to handle smart grid data services can meet the requirements of grid data for security.