Abstract

The Internet of Things (IoT) is a world of connected networks and modern technology devices, among them vehicular networks considered more challenging due to high speed and network dynamics. Future trends in IoT allow these inter networks to share information. Also, the previous security solutions to vehicular IoT (VIoT) much emphasize on privacy protection and security related issues using public keys infrastructure. However, the primary concern about efficient trust assessment, authorized users malfunctioning, and secure information dissemination in vehicular wireless networks have not been explored. To cope with these challenges, we propose a trust enhanced on-demand routing (TER) scheme, which adopts TrustWalker (TW) algorithm for efficient trust assessment and route search technique in VIoT. TER comprised of novel three-valued subjective logic (3VSL), TW algorithm, and ad hoc on-demand distance vector (AODV) routing protocol. The simulated results validate the accuracy of the proposed scheme in term of throughput, packet drop ratio (PDR), and end to end (E2E) delay. In the simulation, the execution time of the TW algorithm is analyzed and compared with another route search algorithm, i.e., Assess-Trust (AT), by considering real-world online datasets such as Pretty Good Privacy and Advogato. The accuracy and efficiency of the TW algorithm, even with a large number of vehicle users, are also demonstrated through simulations.

Highlights

  • Vehicular Internet of Things (VIoT) network is a special wireless network where vehicles are equipped with digital computers and multiple sensors

  • We focus on a trust model that does not entirely rely on a central agent and the peers may establish trust relationship based on direct-indirect interactions and the short history of recent behaviors by forming vehicular IoT (VIoT)

  • We have considered a scenario in which neighbor vehicles make small social groups in VIoT

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Summary

Introduction

Vehicular Internet of Things (VIoT) network is a special wireless network where vehicles are equipped with digital computers and multiple sensors. As one of the promising applications in IoT, have changed the direction of travel plans, road safety, and entertainment. These networks can face serious security problems due to high speed, adversary attacks, and open nature of the network [4]. Previously proposed schemes based on public key infrastructure (PKI) in VIoT require central cloud services. Neither, it can be solved by any privacy-preserving scheme to authenticate the legitimacy of shared data [5,6]. Instead, incorporating trust can help us in building reputation system between unknown vehicle users and to evict malicious ones within its transmission range [7,8]

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