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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2344-2358
Number of pages15
JournalIEEE Transactions on Intelligent Transportation Systems
Volume24
Issue number2
DOIs
Publication statusPublished - 1 Feb 2023

Keywords

  • Blockchain
  • Internet of Things
  • maritime transportation system
  • positioning error data sharing
  • privacy-preserving

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