Enhancing Security in Recommendation Systems with Blockchain Technology

Xiong Liang*, Yang Liu*, Yingkai Liu, Cheng Chi, Zihang Yin, Xiangrui Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of ACM Turing Award Celebration Conference - CHINA 2024, TURC 2024
PublisherAssociation for Computing Machinery
Pages132-137
Number of pages6
ISBN (Electronic)9798400710117
DOIs
Publication statusPublished - 5 Jul 2024
Externally publishedYes
Event2024 ACM Turing Award Celebration Conference China, TURC 2024 - Changsha, China
Duration: 5 Jul 20247 Jul 2024

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2024 ACM Turing Award Celebration Conference China, TURC 2024
Country/TerritoryChina
CityChangsha
Period5/07/247/07/24

Keywords

  • Blockchain
  • Railway
  • Smart contracts
  • Web 3.0

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Cite this

Liang, X., Liu, Y., Liu, Y., Chi, C., Yin, Z., & Xu, X. (2024). Enhancing Security in Recommendation Systems with Blockchain Technology. In Proceedings of ACM Turing Award Celebration Conference - CHINA 2024, TURC 2024 (pp. 132-137). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3674399.3674449