IoT anomaly detection method in intelligent manufacturing industry based on trusted evaluation

With the development of industrial Internet of Things technology, the relatively closed industrial control system has become more complex and open, and it is facing increasingly serious information security problems. Aiming at the security problems existing in the current intelligent manufacturing industrial Internet of Things, this paper proposes a credible overall architecture of the IoT industrial control system. By adding a trusted function module, the credibility level is evaluated and abnormal operations are monitored. The sensing environment for the Internet of Things is more complicated. This paper proposes a cluster-based routing method. While ensuring the trustworthiness and security of data routing, the routing protocol is maintained efficiently and reliably. A scenario of node cooperation is proposed for scenarios of a large number of malicious nodes. Abnormal attacks are suppressed by maintaining dynamic Bayesian balance between the attacker and the detection node. The simulation results show that the mechanism cooperation game can significantly improve the event detection success rate of abnormal detection nodes and greatly reduce the number of forged reports.