Dynamic Trusted Computing Method for Sensitive Data in Electric Power Communication Networks

In electric power communication networks, the probability of failure of a single root of trust for sensitive data is large, which leads to overloading of the root of trust association node with verification delay, limiting the validity and response time of the dynamic trusted computation of sensitive data, in this regard, a dynamic trusted computation method is designed for the dynamic trusted computation of sensitive data in electric power communication networks. Applying the global monitoring capability of the SDN controller, an independent trusted execution environment is constructed, and by integrating the buffer queues, a suitable trust root association node is selected for the sensitive data, and the trust chain mechanism is improved in terms of the dynamic allocation of tasks and resources of the association nodes and parallel processing of node relevance to avoid excessive load and verification delay; the sensitive data is sent to each node, and the authentication nodes with the same position in different buffer queues are subjected to the Bell state of the authentication nodes in the same position in different buffer queues. The authentication nodes in different buffer queues are measured in Bell state, key rules are formulated, and the trust chain mechanism is combined to calculate the trustworthiness of the sensitive data on the correlated node according to the spatial weights of the neighboring nodes in the power communication network. The experimental results show that the node load situation does not deviate from the initial load of each node; the sensitive data trustworthiness change curve reaches the highest end in 12ms, and stays above 90% after 53ms; the node access coverage, spatial response time, and dynamic trust probability all satisfy the ideal index value/state requirement.