With the development of Internet of Vehicles (IoV), the integration of Internet of Things (IoT) and manual vehicles becomes inevitable in Intelligent Transportation Systems (ITS). In ITS, the IoVs communicate wirelessly with other IoVs, Road Side Unit (RSU) and Cloud Server using an open channel Internet. The openness of above participating entities and their communication technologies brings challenges such as security vulnerabilities, data privacy, transparency, verifiability, scalability, and data integrity among participating entities. To address these challenges, we present a Privacy-Preserving based Secured Framework for Internet of Vehicles (P2SF-IoV). P2SF-IoV integrates blockchain and deep learning technique to overcome aforementioned challenges, and works on two modules. First, a blockchain module is developed to securely transmit the data between IoV-RSU-Cloud. Second, a deep learning module is designed that uses the data from blockchain module to detect intrusion and its performance is assessed using two network datasets IoT-Botnet and ToN-IoT. In contrast with other peer privacy-preserving intrusion detection strategies, the P2SF-IoV approach is compared, and the experimental results reveal that in both blockchain and non-blockchain based solutions, the proposed P2SF-IoV framework outperforms.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    P2SF-IoV: A Privacy-Preservation-Based Secured Framework for Internet of Vehicles


    Contributors:

    Published in:

    Publication date :

    2022-11-01


    Size :

    3096857 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Blockchain-Based Lightweight and Secured V2V Communication in the Internet of Vehicles

    Kamal, Mohsin / Srivastava, Gautam / Tariq, Muhammad | IEEE | 2021


    Secured Connected Vehicles for Intelligent Transportation

    Hegde, Seema B / Devadutt, P Venkata Sai / Sai, P Chethan et al. | IEEE | 2024


    Privacy and Trust in the Internet of Vehicles

    Zavvos, Efstathios / Gerding, Enrico H. / Yazdanpanah, Vahid et al. | IEEE | 2022


    Preserving Privacy in the Internet of Connected Vehicles

    Ghane, Soheila / Jolfaei, Alireza / Kulik, Lars et al. | IEEE | 2021


    Blockchain-Enabled Security and Privacy for Internet-of-Vehicles

    Ayaz, Ferheen / Sheng, Zhengguo / Tian, Daxin et al. | Springer Verlag | 2020