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Blockchain-Based Trust Management Approach for IoV

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Advanced Information Networking and Applications (AINA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 225))

Abstract

Internet of Vehicles (IoV) brings new specific vehicular use cases further from Vehicular Ad-hoc Networks (VANETs) and offers sophisticated applications for more efficient Intelligent Transport Systems (ITS) in which autonomous driving technology is the quantum leap in smart connected vehicles. However, this innovation brings a security concern and remains cautious and suspicious as vehicular networks become more vulnerable. Traditional security techniques may not tackle all the security issues and provide the comprehensive protection in the current IoV system scenarios. It is therefore of paramount importance to organize trust in such environment and distinguish dishonest entity from trustworthy. Accordingly, trust management-based approaches are further needed to assist for effective vehicular networks deployment. In this paper, a trust management-based model is proposed to secure the vehicular communication system. The introduced trust approach executes a serie of security activities to ensure the trustworthiness of the exchanged data. In our scheme, vehicles also validate the trustworthiness of received data relying on location-trust metric. In this way, our approach will be efficient in calculating and maintaining trust scores in vehicular networks while accommodating related imperatives as Quality of Service (QoS) satisfaction.

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Acknowledgments

This work was supported by the Ministère de L’Enseignement supérieur, de la Recherche et de l’Innovation–France, and the FEDER; TBAN project.

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Correspondence to Amal Hbaieb .

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Hbaieb, A., Ayed, S., Chaari, L. (2021). Blockchain-Based Trust Management Approach for IoV. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-030-75100-5_42

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