Evaluation method of trust degree of distribution IoT terminal equipment based on information entropy

Abstract

Abstract Power distribution Internet of Things terminal equipment is vulnerable to multiple security threats, such as identity disguise, information theft, data tampering. Traditional security methods cannot resist internal network attacks from compromised terminals. The trust evaluation system is an effective mechanism to protect power distribution IoT terminals from internal attacks. This paper proposes a trust evaluation method based on information entropy for the trust problem of power distribution Internet of Things communication terminal. First, the direct trust value is estimated by the model based on the reputation of exponential distribution, and then the direct trust value is updated by the sliding window and forgetting factor. According to the entropy theory, the uncertainty of the direct trust value is measured, and the indirect trust value is introduced to make up for the inaccuracy of the direct trust judgment, and the judgment accuracy is improved through the comprehensive evaluation of the direct trust value and indirect trust value. Experimental simulations show that the method in this paper can effectively resist switch attacks and collusion attacks. At the same time, the method proposed in this paper can better evaluate malicious and normal terminals than binomial trust management and trust evaluation based on beta distribution.