Research on aggregate trust degree calculation method of power Internet of things

With the construction of new power systems, the power Internet of Things is more open and easy to connect. Therefore, it is more susceptible to multiple security threats such as identity disguised access, information theft, data tampering, etc., and there is an urgent need to study trusted access and trusted information acquisition technologies. Aiming at the problem of terminal trust in the power Internet of Things, this paper proposes a trust calculation method that aggregates direct trust and indirect trust to evaluate the trustworthiness of the terminal. The algorithm breaks through the shortcomings of traditional methods that only use fixed direct information values, uses sliding window forgetting factors to update direct trust values, and introduces indirect trust values to make up for the inaccuracy of direct trust judgments, and improves judgment accuracy through the aggregation of the two. Experimental simulations in a variety of scenarios show that the method in this paper can effectively identify the trust degree of terminal nodes in the normal state and in the presence of switch attacks, and is more accurate and faster than binomial trust management and trust evaluation based on beta distribution.