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Towards Strengthening the Resilience of IoV Networks—A Trust Management Perspective

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  • Yingxun Wang

    (Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia
    Faculty of Mechanical and Electrical Engineering, Qilu Institute of Technology, Jinan 250200, China)

  • Hushairi Zen

    (Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia)

  • Mohamad Faizrizwan Mohd Sabri

    (Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia)

  • Xiang Wang

    (Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia
    Faculty of Mechanical and Electrical Engineering, Qilu Institute of Technology, Jinan 250200, China)

  • Lee Chin Kho

    (Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia)

Abstract

Over the past decade or so, considerable and rapid advancements in the state of the art within the promising paradigms of the Internet of Things (IoT) and Artificial Intelligence (AI) have accelerated the development of conventional Vehicular Ad Hoc Networks (VANETS) into the Internet of Vehicles (IoV), thereby bringing both connected and autonomous driving much closer to realization. IoV is a new concept in the Intelligent Traffic System (ITS) and an extended application of IoV in intelligent transportation. It enhances the existing capabilities of mobile ad hoc networks by integrating them with IoT so as to build an integrated and unified vehicle-to-vehicle network. It is worth mentioning that academic and industrial researchers are paying increasing attention to the concept of trust. Reliable trust models and accurate trust assessments are anticipated to improve the security of the IoV. This paper, therefore, focuses on the existing trustworthiness management models along with their corresponding trust parameters, as well as the corresponding trust evaluation parameters and simulation, which provide the basis for intelligent and efficient model suggestions and optimal parameter integration. In addition, this paper also puts forward some open research directions that need to be seriously solved before trust can play its due role in enhancing IoV network elasticity.

Suggested Citation

  • Yingxun Wang & Hushairi Zen & Mohamad Faizrizwan Mohd Sabri & Xiang Wang & Lee Chin Kho, 2022. "Towards Strengthening the Resilience of IoV Networks—A Trust Management Perspective," Future Internet, MDPI, vol. 14(7), pages 1-21, June.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:7:p:202-:d:852599
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    References listed on IDEAS

    as
    1. Ibrahim Abdo Rai & Riaz Ahmed Shaikh & Syed Raheel Hassan, 2020. "A hybrid dual-mode trust management scheme for vehicular networks," International Journal of Distributed Sensor Networks, , vol. 16(7), pages 15501477209, July.
    2. Evgenia Kapassa & Marinos Themistocleous & Klitos Christodoulou & Elias Iosif, 2021. "Blockchain Application in Internet of Vehicles: Challenges, Contributions and Current Limitations," Future Internet, MDPI, vol. 13(12), pages 1-32, December.
    3. Adnan Mahmood & Wei Emma Zhang & Quan Z. Sheng, 2019. "Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges," Future Internet, MDPI, vol. 11(3), pages 1-17, March.
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    Cited by:

    1. Soukaina Bouarourou & Abderrahim Zannou & El Habib Nfaoui & Abdelhak Boulaalam, 2023. "An Efficient Model-Based Clustering via Joint Multiple Sink Placement for WSNs," Future Internet, MDPI, vol. 15(2), pages 1-27, February.
    2. Lirui Bi & Tasiu Muazu & Omaji Samuel, 2022. "IoT: A Decentralized Trust Management System Using Blockchain-Empowered Federated Learning," Sustainability, MDPI, vol. 15(1), pages 1-25, December.

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