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

【Author】 Gai, Keke; Tang, Haokun; Li, Guangshun; Xie, Tianxiu; Wang, Shuo; Zhu, Liehuang; Choo, Kim-Kwang Raymond

【Source】IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

【影响因子】9.551

【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.

【Keywords】Blockchains; Smart contracts; Sensors; Transportation; Global navigation satellite system; Sensor systems; Privacy; Blockchain; privacy-preserving; positioning error data sharing; Internet of Things; maritime transportation system

【发表时间】

【收录时间】2022-08-15

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-物流领域