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Trust management in social Internet of vehicles: Factors, challenges, blockchain, and fog solutions

Author

Listed:
  • Razi Iqbal
  • Talal Ashraf Butt
  • Muhammad Afzaal
  • Khaled Salah

Abstract

The Internet of things is the next stage in the evolution of the Internet that is being materialized with the integration of billions of smart objects. The state-of-the-art communication technologies have enabled the previously isolated devices to become an active part of the Internet. This constant connectivity opens new avenues for novel applications such as the realization of social Internet of things and its subdomain the social Internet of vehicles. Socializing requires sharing of information that entails trust, especially in an open and broad social environment. This article highlights the key factors involved in conceptualizing an efficient trust model for social Internet of vehicles. Furthermore, it focuses on the unique challenges involved in designing the trust models for social Internet of vehicles. Several trust models exist in literature; however, most of the existing trust models are specific to their domains, for example, Internet of things, social Internet of things, or general vehicular networks. This article presents a brief review of the trust models that have the potential to be implemented in Social Internet of vehicles. Finally, the authors present an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.

Suggested Citation

  • Razi Iqbal & Talal Ashraf Butt & Muhammad Afzaal & Khaled Salah, 2019. "Trust management in social Internet of vehicles: Factors, challenges, blockchain, and fog solutions," International Journal of Distributed Sensor Networks, , vol. 15(1), pages 15501477198, January.
  • Handle: RePEc:sae:intdis:v:15:y:2019:i:1:p:1550147719825820
    DOI: 10.1177/1550147719825820
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    Citations

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    Cited by:

    1. Ayodeji Falayi & Qianlong Wang & Weixian Liao & Wei Yu, 2023. "Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology," Future Internet, MDPI, vol. 15(5), pages 1-28, May.
    2. Manju Biswas & Debashis Das & Sourav Banerjee & Amrit Mukherjee & Waleed AL-Numay & Utpal Biswas & Yudong Zhang, 2023. "Blockchain-Enabled Communication Framework for Secure and Trustworthy Internet of Vehicles," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    3. Muntadher Sallal & Ruairí de Fréin & Ali Malik, 2023. "PVPBC: Privacy and Verifiability Preserving E-Voting Based on Permissioned Blockchain," Future Internet, MDPI, vol. 15(4), pages 1-27, March.
    4. Riya Sapra & Parneeta Dhaliwal, 2021. "Blockchain: The Perspective Future of Technology," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 16(2), pages 1-20, April.
    5. Juyeon Son & Wonyoung Choi & Sang-Min Choi, 2020. "Trust information network in social Internet of things using trust-aware recommender systems," International Journal of Distributed Sensor Networks, , vol. 16(4), pages 15501477209, April.
    6. Adnan Abid & Ansar Abbas & Adel Khelifi & Muhammad Shoaib Farooq & Razi Iqbal & Uzma Farooq, 2020. "An architectural framework for information integration using machine learning approaches for smart city security profiling," International Journal of Distributed Sensor Networks, , vol. 16(10), pages 15501477209, October.

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