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In order to investigate security and privacy issues in the mobile Internet of Things (IoT), the access control four states (AC4E) IoT model is constructed, data physical fusion technology is adopted, and simulation experiments are conducted to explore its performance in terms of optimal response path, trust mechanism, and privacy rate. The results show that AC4E has good reactivity, correctness, security, parallel processing, and other characteristics in the analysis of the optimal response path, trust mechanism, and security rate. The AC4E trust model can be used to isolate the influence of “malicious” nodes and reduce the energy loss of the system. Further analysis of its secrecy rate shows that when the number of iterations is 5, nodes at different positions can maximize the secrecy performance of the system according to different power distribution. Therefore, the application of data physical fusion technology in the mobile IoT can effectively improve the security and privacy performance of the network, and provide a certain experimental reference for the improvement of the performance of the mobile IoT in the later stage, which has important research significance.
Lv et al. (2019) studied this question.