Dynamic Trust Management for the Edge Devices in Industrial Internet

The scale of industrial Internet networks contin-ues to grow, and equipment intelligence continues to improve. Traditional industrial Internet security solutions can no longer meet the requirements of privacy and efficiency. Trust man-agement is an effective way to promote security, efficiency, and scalability in Industrial Internet networks. In this paper, a dy-namic trust management model for the Edge Devices in the Industrial Internet based on the feedback under the edge com-puting architecture is proposed. We divide trust into two parts, direct trust and indirect trust. The model calculates the direct trust between devices based on long-term and short-term trust. Long-term and short-term trust help honest devices restore their trust as soon as possible after experiencing short-term trust decline. They can also prevent dishonest devices from obtaining higher trust due to short-term honest behavior. Be-sides, the model calculates the indirect trust of the edge broker to devices based on the reward-punishment mechanism. The mechanism improves the accumulation speed of the indirect trust of honest devices and reduces the indirect trust of dishon-est devices rapidly. The trust fusion algorithm is then used to aggregate the direct and indirect trust to calculate the compre-hensive trust of the device. Experimental results show that the proposed model outperforms the existing methods in local and global performance in different attack scenarios.