No abstract

This paper mainly summarizes three aspects of information security: Internet of Things (IoT) authentication technology, Internet of Vehicles (IoV) trust management, and IoV privacy protection. Firstly, in an industrial IoT environment, when a user wants to securely access data from IoT sensors in real-time, they may face network attacks due to the data being transmitted through an open channel. In order to solve this problem, we innovatively propose a user and device authentication model integrated with cloud computing, introduce an algorithm related to protocol design, and summarize the research direction of developing a more lightweight algorithm when designing security protocols in the future. Secondly, for mobile IoT applications, such as IoV, information collection and distribution is realized by establishing a network between vehicles and infrastructure. IoV will face security threats such as information insecurity and privacy disclosure. We introduce a typical trust management model for the IoV, which solves the problem of information unreliability by storing vehicle trust values. In the future, we are committed to making the process of computing node credibility using a trust model more robust. Finally, aiming at the privacy protection of the IoV, we propose a cross-domain anonymous authentication system model based on blockchain. The user’s auxiliary authentication information is stored in the blockchain, and the auxiliary authentication information of any registered user can be obtained from the blockchain. The privacy protection of cross-domain authentication can be realized through anonymous authentication, which greatly saves the communication cost of cross-domain authentication. In the future, we will try to use deep learning or federated learning to integrate with blockchain for actual deployment.