Privacy Data Synchronization Method Based on Election in Intranet
Jun Han, Kai Deng, Xiaolei Deng · 2022 3rd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) · 2022
Privacy data synchronization is an important prerequisite for efficient data utilization on the intranet. Aiming at the lack of effective node election model and information synchronization mechanism in the current enterprise intranet, a privacy data synchronization model based on election is proposed. Firstly, the service cluster is generated according to the service type, and the cluster head election model is established to fairly identify the services in the cluster. Secondly, a privacy data synchronization method based on the heartbeat mechanism is designed. By establishing a communication channel with the central master service, the organizational structure information of all services in the cluster can be synchronized. The method proposed in this paper can realize the synchronization of privacy data safely and efficiently, and can be applied to the enterprise intranet.