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A study of mechanisms and approaches for IoV trust models requirements achievement

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Abstract

Intelligent Transportation Systems (ITS) are a promising research area that offers a variety of applications. The objective of these applications is to enhance road safety, to optimize traffic efficiency, and to provide a better driving experience. Yet, the efficiency of ITS applications, such as safety and driver assistance applications, relies essentially on the exchanged data between different entities of the network. Accordingly, trust management models are used to guarantee the quality of the data and to eliminate malicious and selfish nodes to secure vehicular communications. In this paper, we pay a special attention to the requirements of trust management models used in the context of ITS applications. We also dissected the trust model to extract the mechanisms used in the literature to fulfil the identified requirements. Furthermore, we present the most known simulators and evaluation metrics that are used to validate the proposed models. The aim of this study is to provide a global overview of the mechanisms that may be used to fulfil the crucial requirements of trust management models. For this purpose, we employed a systematic mapping study, through which we carefully analysed 60 selected articles. Through our analysis, five main requirements were identified: scalability, accuracy, robustness, privacy preservation, appropriate response time. Different mechanisms and techniques were applied to meet with the identified requirements. Two main findings are reported: (1) The accuracy and robustness requirements are the most considered requirements. On the other hand, the privacy requirement is the least covered by the publications, (2) the majority of the reviewed papers focus on addressing two or three requirements at most. A little number of publications covered all the requirements. Based on the identified research gaps, we highlight some future directions that may be investigated. We provide general recommendations that may serve as a guideline for researchers who want to design trust models that fulfil certain requirements.

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Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

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Author notes

  1. Nadia Ben Azzouna, Wassim Trojet, Ghaleb Hoblos and Nabil Sahli have contributed equally to this work.

Authors and Affiliations

  1. University of Tunis, ISG, SMART Lab, 41 Av. de la Liberte, 2000, Bardo, Tunis, Tunisia

    Rihab Abidi & Nadia Ben Azzouna

  2. Normandy University, UNIROUEN, ESIGELEC, IRSEEM, Technopôle du Madrillet, Av. Galilée, 76800, Saint-Etienne du Rouvray, Normandie, France

    Rihab Abidi & Ghaleb Hoblos

  3. German University of Technology (GUtech), Computer Science Department, Athaibah, P.O. Box 1816, Muscat, Sultanate of Oman

    Nabil Sahli

  4. Higher Colleges of Technology UAE, Computer Science Department, Al Dhafrah, P.O. Box 25026, Abu Dhabi, United Arab Emirates

    Wassim Trojet

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Contributions

All the presented authors contributed to conceive the presented idea. Rihab Abidi, collected the data and reviewed the investigated papers. Nadia Ben Azzouna, Nabil Sahli, Ghaleb Hoblos, and Wassim Trojet supervised and investigated the findings and the results of the research study. Rihab Abidi wrote the final manuscript. All the authors contributed to the revision and the discussion of the final output.

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Abidi, R., Azzouna, N.B., Trojet, W. et al. A study of mechanisms and approaches for IoV trust models requirements achievement. J Supercomput 80, 4157–4201 (2024). https://doi.org/10.1007/s11227-023-05620-6

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