This research presents a pioneering approach to tackle the rising issue of scams plaguing the automotive industry, focusing particularly on the vulnerabilities associated with Vehicle Identification Numbers (VINs). By leveraging advanced steganographic techniques for encryption and the robustness of blockchain technology, this study offers a comprehensive solution aimed at enhancing security, transparency, and countering fraud within the automotive ecosystem. The proposed methodology entails embedding steganographic images onto various parts of vehicles, bolstering authentication mechanisms and enabling efficient tracking of vehicle histories, crucial for used car transactions. Moreover, the incorporation of blockchain, specifically Hyperledger Fabric, into the automotive supply chain management ensures a secure, reliable, tamper-proof, and transparent framework, thereby mitigating the risks posed by fraudulent activities. The study aims to revolutionize existing industry systems, uphold safety measures, and instill confidence among consumers and stakeholders, ultimately fostering a resilient and secure automotive environment.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Vehicular Networks: Revolutionizing Motor Vehicle Operations and Governance through Blockchain


    Contributors:


    Publication date :

    2024-05-09


    Size :

    526578 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Revolutionizing Road Safety for Advanced Vehicular Accident Prediction

    Deepika, T. / Yuvaraj, N. / Preethaa, K.R. Sri | IEEE | 2024


    Blockchain Based Vehicle Authentication Scheme for Vehicular Ad-hoc Networks

    Maria Stephen, Steffie / Jaekel, Arunita | IEEE | 2021


    Revolutionizing Warfare through Interdiction

    Bingham, Price T. | Online Contents | 1996


    Revolutionizing Connectivity and Mobility for the Advancements in Vehicular Ad-Hoc Networks for Modern Challenges

    Karimullah, Shaik / Shaik, Fahimuddin / Pradeep Reddy, Kumbala | IEEE | 2024