Aiming at the characteristics of strong heterogeneity and limited computing ability of IoT nodes, this dissertation proposes a Trust Authorization Model based on detection feedback in IoT, combined with the current trust model of IoT and implement storage and other tasks by calculating and storing the cluster head node with strong ability to facilitate the data transmission and search for energy consumption, and help the local network be not limited by the computing power of the device. In terms of trust calculation, the threshold value is based on the recommendation. Simulation results show that this model has lower energy consumption than other similar models, has good coping ability for attacks such as malicious recommendation and malicious slander, and has a higher detection rate and response rate to attack nodes.
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