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Blockchain-Based Privacy-Preserving Positioning Data Sharing for IoT-Enabled Maritime Transportation Systems

  • Keke Gai*
  • , Haokun Tang
  • , Guangshun Li*
  • , Tianxiu Xie
  • , Shuo Wang
  • , Liehuang Zhu
  • , Kim Kwang Raymond Choo
  • *此作品的通讯作者
  • Beijing Institute of Technology
  • Qufu Normal University
  • University of Texas at San Antonio

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Data-driven applications play an important role in modern-time maritime transportation systems, for instance in facilitating decision-making relating to communication and safety. One example application is position data sharing between vessels within the maritime Internet of Things (IoT)-enabled context. When designing such applications, we need to also consider how to ensure data accuracy as well as privacy in a large scale deployment. In this paper, we demonstrate the potential of using blockchain to facilitate privacy-preserving data sharing. Specifically, we develop a zero-knowledge proof-based scheme to protect vessel identities while allowing data sharing, and a commitment-based approach to ensure relationship-related privacy in data trading between participants. Our security and performance evaluations demonstrate the utility of the proposed approach.

源语言英语
页(从-至)2344-2358
页数15
期刊IEEE Transactions on Intelligent Transportation Systems
卷24
期2
DOI
出版状态已出版 - 1 2月 2023

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