Security authentication technology based on dynamic Bayesian network in Internet of Things

With the rapid development of the Internet of Things (IoT) technology in the information society, how to meet the urgent requirements of current users for trusted transmission services is a research hot-spots in the field of the IoT industry. In view of the research status on security authentication in IoT, a security authentication technology based on dynamic Bayesian network combined with trusted protocol is proposed in this paper. Through the introduction of the trusted measurement and the combined public key-based security authentication mechanism in the network, it enhances the security information exchange and considers the node credibility and the path reliability in the routing decision so as to choose a high secure and trusted path for information transmission in IoT. The evaluation results showed that our algorithm achieves a much better security performance than comparison algorithms in overhead and computational complexity for real time applications. In addition, our algorithm has also an adaptive capability and can quickly react to the denial of the service attack, which effectively suppress the threat of abnormal entity in the IoT.