Enhancing Security in Recommendation Systems with Blockchain Technology

Enhancing Security in Recommendation Systems with Blockchain Technology

연구 분야: Cryptography

학회: ACM-TURC '24: Proceedings of the ACM Turing Award Celebration Conference - China 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.