In the context of evolving smart cities and autonomous transportation systems, Vehicular Ad-hoc Networks (VANETs) and the Internet of Vehicles (IoV) are growing in significance. Vehicles are becoming more than just a means of transportation; they are collecting, processing, and transmitting massive amounts of data to make driving safer and more convenient. However, this advancement ushers in complex issues concerning the centralized structure of traditional vehicular networks and the privacy and security concerns around vehicular data. This paper offers a novel, game-theoretic network architecture to address these challenges. Our approach decentralizes data collection through distributed servers across the network, aggregating vehicular data into spatio-temporal maps via secure multi-party computation (SMPC). This strategy effectively reduces the chances of adversaries reconstructing a vehicle’s complete path, increasing privacy. We also introduce an economic model grounded in game theory that incentivizes vehicle owners to participate in the network, balancing the owners’ privacy concerns with the monetary benefits of data sharing. This model aims to maximize the data consumer’s utility from the gathered sensor data by determining the most suitable payment to participating vehicles, the frequency in which these vehicles share their data, and the total number of servers in the network. We explore the interdependencies among these parameters and present our findings accordingly. To define meaningful utility and loss functions for our study, we utilize a real dataset of vehicular movement traces.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Incentivizing Private Data Sharing in Vehicular Networks: A Game-Theoretic Approach


    Contributors:


    Publication date :

    2023-10-10


    Size :

    1358464 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Fairness-Aware Game Theoretic Approach for Service Management in Vehicular Clouds

    Aloqaily, Moayad / Kantarci, Burak / Mouftah, Hussein T. | IEEE | 2017


    A Game Theoretic Scheme for Optimal Access Control in Heterogeneous Vehicular Networks

    Hui, Yilong / Su, Zhou / Luan, Tom H. et al. | IEEE | 2019


    Guidelines for Incentivizing Partnerships Between State DOTs and Local, Public and Private Partners

    Bochner, B. S. / Zietsman, J. / Villa, J. C. et al. | British Library Conference Proceedings | 2007


    SYSTEM INCENTIVIZING GREEN ENERGY USAGE

    O'KEEFE FRANK | European Patent Office | 2022

    Free access