Ride-sharing is a service that enables drivers to share their trips with other riders, contributing to improving traffic congestion as well as assist in reducing Carbon Dioxide (CO2) emission and fuel consumption. It has come to the forefront in recent years as a Green service in large cities. However, the majority of existing ride-sharing services rely on a central third party, which makes them subject to a single point of failure and privacy disclosure concerns by both internal and external attackers. Moreover, they are vulnerable to distributed denial of service (DDoS) and Sybil attacks due to malicious users. There is also high service fees paid to the ride-sharing service provider. In this paper, we propose to decentralize ride-sharing services based on a public Blockchain. Our scheme enables drivers to propose ride-sharing services without relying on a trusted third party. To preserve location privacy, riders send cloaked ride requests to hide their exact pick-up/drop-off locations, and departure/arrival dates. Then, by using an off-line matching technique, drivers sends their offers encrypted to ensure data confidentiality. Upon receiving the ride-offers, the rider can find a ride match using some heuristics as well as the bid price included in the offer. To preserve anonymity, riders/drivers use pseudonyms that change per trip to ensure unlinkabilty. We envision the application of this technology in Green Internet of Things connected smart cities, where ride sharing services are common. Finally, we implement our scheme and deploy it in a test net of Ethereum. The experimental results show the applicability of our protocol.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Light Blockchain-Powered Privacy-Preserving Organization Scheme for Ride Sharing Services


    Beteiligte:
    Baza, Mohamed (Autor:in) / Mahmoud, Mohamed (Autor:in) / Srivastava, Gautam (Autor:in) / Alasmary, Waleed (Autor:in) / Younis, Mohamed (Autor:in)


    Erscheinungsdatum :

    2020-05-01


    Format / Umfang :

    277571 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Privacy-Preserving Ride Sharing Organization Scheme for Autonomous Vehicles in Large Cities

    Sherif, Ahmed / Alsharif, Ahmad / Moran, Jacob et al. | IEEE | 2017


    P2Ride: Practical and Privacy-Preserving Ride-Matching Scheme for Ridesharing

    Luo, Yuchuan / Fu, Shaojing / Jia, Xiaohua et al. | IEEE | 2023


    pdRide: Privacy-Preserving Distributed Online Ride-Hailing Matching Scheme

    Wang, Qian / Lai, Chengzhe / Han, Gang et al. | IEEE | 2023


    VOMA: A Privacy-Preserving Matching Mechanism Design for Community Ride-Sharing

    Gao, Jie / Wong, Terrence / Selim, Bassant et al. | IEEE | 2022


    Privacy-Preserving Time-Sharing Services for Autonomous Vehicles

    Hadian, Mohammad / Altuwaiyan, Thamer / Liang, Xiaohui | IEEE | 2017