Protection of User Sensitive Information Based on SIR Model

In the mobile CDN environment, the information spread within the coverage of any edge server may contain sensitive information, so the sensitive information needs to be protected during the propagation process. This paper proposes to use today's more mature natural language processing (NLP) technology on the edge server. If it is detected that the information contains sensitive information through the device connection and data transmission in the coverage of an edge server, the propagation of the information will be limited according to the classification of infectious diseases. In this paper, we first assume that the sensitive information is released in the network environment, and then use SIR model to simulate the information dissemination situation. We simulate the sensitive information dissemination situation in two different situations: the edge server restricts the information dissemination and the edge server does not restrict the information dissemination, and compare the experimental results of the two different situations. In this paper, dolphin network data set and simulation data set are used for experimental verification. The experimental results show that, compared with the traditional cloud computing framework, this method can effectively inhibit the spread of sensitive information in the mobile CDN network framework and limit the spread of sensitive information.