IEEE Transactions on Intelligent Transportation Systems · 2022 · 43 citations · 33 references
ComputingComputer ScienceCybersecurityComputer SecurityCryptographyInternet Of ThingsData ConfidentialityData PrivacyData ProtectionData SecurityPrivacy-preserving ProtocolsSecure Data SharingBlockchain-based Data SecurityBlockchain-based Data SharingBlockchain-based SecurityData AccuracyPositionPrivacyZero-knowledge Proof ProtocolsZero-knowledge Proof Systems
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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