Enhancing Security in Recommendation Systems with Blockchain Technology
Xiong Liang, Yang Liu, Yingkai Liu, Cheng Chi, Zihang Yin, Xiangrui Xu · 2024
With the expanding mileage of China’s railroads, efficiently managing and maintaining railroad operation data, particularly for heavy railroads, has become increasingly crucial. However, the mainstream railroad data management system is based on the “server-client" Web 2.0 model, which has some unsolvable security problems. This paper introduces the advantages of the blockchain-based Web 3.0 railroad data management system in managing and maintaining railroad facilities and operation data, such as decentralization to improve security, comparability to ensure data security, and traceability to support data traceability. Additionally, this paper introduces a grade recommendation mechanism for evaluating and recommending various safety and performance indicators for heavy railroads and ports to ensure that the operation of each link meets safety standards.