Feedback Mechanism-Based Trust Evaluation Model for Mobile Edge Computing in Industrial IoT

Computing and storage tasks are offloaded to the network edge by Mobile Edge Computing, reducing the burden and communication latency of the Industrial Internet of Things. Unfortunately, the presence of network attacks means that edge nodes are not always trustworthy. For this reason, a trust evaluation model based on the feedback mechanism is proposed. Various dimensions of information, such as node importance and node reliability, are considered to analyze the nature of nodes based on feedback trust from terminal devices. A feedback filtering method based on median filtering is proposed to address the issue of malicious feedback affecting trustworthiness evaluation. The feedback similarity is calculated using Mahalanobis distance, and an improved median filtering is used to filter out malicious feedback. Experimental results demonstrate that the model proposed in this paper has improved evaluation accuracy, robustness, and other aspects compared to state-of-the-art trust evaluation models.