Research on Multi-level Trust Mechanism of Internet of Things
Yun Zhu, Wenxiang Xu · 2023
With 5G, the Internet of Things and other technologies becoming popular, cloud edge end integration gradually replaced centralized cloud computing has become the current development trend. However, due to the complex network environment, the security of massive and diverse terminal devices has become a challenge, and the traditional iot trust mechanism has been unable to apply to the cloud-side architecture. As a decentralized distributed ledger technology, blockchain has the characteristics of data immutable, unfalsifiable, traceable and jointly maintained by many aspects, etc. Integrating blockchain into the cloud-side architecture can enable data interaction between multiple participants with mutual trust, which can ensure data integrity and security. This paper proposes to integrate blockchain into the cloud edge architecture of the Internet of Things to solve the trust problem, and the edge node and the cloud node jointly maintain the blockchain environment, and adopt the fragmentation idea to form a temporary dynamic "community" to improve the throughput of trust evidence of the blockchain and thus improve the overall security of the Internet of Things system. An improved algorithm for detecting abnormal trust information based on Apriori is designed and deployed on cloud nodes. Experiments show that the improved detection algorithm can improve the detection efficiency and reduce the calculation consumption.