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.


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    Titel :

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


    Beteiligte:
    Gai, Keke (Autor:in) / Tang, Haokun (Autor:in) / Li, Guangshun (Autor:in) / Xie, Tianxiu (Autor:in) / Wang, Shuo (Autor:in) / Zhu, Liehuang (Autor:in) / Choo, Kim-Kwang Raymond (Autor:in)


    Erscheinungsdatum :

    01.02.2023


    Format / Umfang :

    2277230 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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