IoT edge equipment trust evaluation method, device and system and proxy server

Abstract

The invention discloses an IoT edge equipment trust evaluation method. A time window method is employed to obtain a predicted trust value in a current cycle according to trust values of equipment in past time cycles; trust has time correlation, and thus the predicted trust value delineates a possible range of a current trust value to a certain extent; a difference value of a received actual trustvalue and the predicted trust value is compared with an error threshold, and whether the trust value of interaction can be trusted is judged; if not, the trust value is corrected through implementinga penalty system, then aggregation calculation of feedback trust is carried out after correction, and a more reliable overall trust value can be obtained; and malicious evaluation caused by maliciousbehaviors such as false feedback, malicious attacks and collusion cheating is avoided, and reliability of overall trust and security of a system are improved. The invention also discloses an IoT edgeequipment trust evaluation device, an edge proxy server and an IoT edge equipment trust evaluation system, which have the above advantages.

Description

technical field [0001] The present invention relates to the field of the Internet of Things, and in particular to an IoT edge device trust evaluation method, an IoT edge device trust evaluation device, an edge proxy server, and an IoT edge device trust evaluation system. Background technique [0002] The integration of the Internet of Things and edge computing is one of the current research hotspots. Edge computing services can significantly reduce the amount of data that needs to be transmitted, reduce network delays, and respond to service requests faster. Lack of trust among IoT edge devices hinders adoption of IoT edge computing as an outsourced computing service. Therefore, it is necessary to use a reliable and lightweight trust mechanism to ensure the quality of service cooperation behavior and establish reliable trust between IoT edge devices. [0003] The current edge computing architecture of the Internet of Things based on the feedback-based trust computing mechan...

AI Technical Summary

Problems solved by technology

Due to various security risks and attacks in the Internet of Things, IoT edge devices are suffering from various malicious behaviors such as false feedback, malicious attacks, and collusion and cheating, so the direct trust between devices and the agent receives all feedback from other devices at the device layer False trust values ​​may exist, resulting in a certain error in the feedback trust obtained after aggregation calculation at the proxy layer and affecting the calculation of the overall trust of the device. The overall trust accuracy rate is low, affecting system security and reliability

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