Lightweight and Secure Encryption of Sensitive Data in Power Communication Transmission Networks

Data privacy and security are becoming more and more the focus of users' attention, while data face serious leakage risks during network transmission and storage. Moreover, in edge networks, due to the limited computing and communication resources, it is difficult to protect data privacy while efficiently computing and processing the data. Therefore, this paper proposes a lightweight security encryption technique for sensitive data in power communication transmission networks. Firstly, the services carried on the power communication transmission network are classified, and the principles and processes of service configuration are clarified; then, for the problem of incomplete consideration of factors in the current traditional service configuration algorithm, combined with the principles of service configuration of the power communication transmission network, a multi-constraints-based service routing optimisation model for the power communication transmission network is designed. On this basis, a service routing optimization algorithm suitable for power communication transmission networks is proposed Finally, deep learning algorithms are compared and analysed to demonstrate the superiority of deep learning algorithms in service configuration application scenarios. Through actual cases, the proposed algorithm is compared and analysed with related typical algorithms, and it is verified that the proposed algorithm has obvious advantages in balancing the network load, reducing the risk of the whole network, and computing efficiency.