A Blockchain-Based Trusted Upload Scheme for the Internet of Things Nodes

Jiao, Yu; Wang, Cexun

doi:10.26599/ijcs.2022.9100010

Cited by 8 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to solve the problem of privacy leakage caused by tracking specific trust values, according to the trust values of vehicle nodes obtained by the trust evaluation mechanism, the corresponding trust levels are divided, and the trust certificates of corresponding states are generated [52][53][54][55]. That is, the calculated trust value of vehicle nodes is fuzzified, and the trust state is used instead of the specific trust value [56][57][58][59]. Different trust levels represent different trust states, and the noise contained in them is also different, so users with low trust level cannot query the information of users with high trust levels.…”

Section: Blockchain Solves the Trust Management Problemmentioning

confidence: 99%

Authentication Technology in Internet of Things and Privacy Security Issues in Typical Application Scenarios

Zhao

Huang

et al. 2023

Electronics

View full text Add to dashboard Cite

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.

show abstract