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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/37224

Title: A comparative analysis of trust models for safety applications in IoT-enabled vehicular networks
Authors: Ahmad, Farhan
Adnane, Asma
Kurugollu, Fatih
Hussain, Rasheed
Keywords: Trust models
Internet-of-things
Smart cities
Intelligent transportation systems
Vehicular Ad-hoc network
Issue Date: 2019
Publisher: IEEE
Citation: AHMAD, F. .... et al., 2019. A comparative analysis of trust models for safety applications in IoT-enabled vehicular networks. Presented at the 11th IFIP Wireless Days (WD), Manchester, UK, April 24th - 26th.
Abstract: Vehicular Ad-hoc NETwork (VANET) is a vital transportation technology that facilitates the vehicles to share sensitive information (such as steep-curve warnings and black ice on the road) with each other and with the surrounding infrastructure in real-time to avoid accidents and enable comfortable driving experience. To achieve these goals, VANET requires a secure environment for authentic, reliable and trusted information dissemination among the network entities. However, VANET is prone to different attacks resulting in the dissemination of compromised/false information among network nodes. One way to manage a secure and trusted network is to introduce trust among the vehicular nodes. To this end, various Trust Models (TMs) are developed for VANET and can be broadly categorized into three classes, Entity-oriented Trust Models (ETM), Data oriented Trust Models (DTM) and Hybrid Trust Models (HTM). These TMs evaluate trust based on the received information (data), the vehicle (entity) or both through different mechanisms. In this paper, we present a comparative study of the three TMs. Furthermore, we evaluate these TMs against the different trust, security and quality-ofservice related benchmarks. Simulation results revealed that all these TMs have deficiencies in terms of end-to-end delays, event detection probabilities and false positive rates. This study can be used as a guideline for researchers to design new efficient and effective TMs for VANET.
Description: This paper is in closed access until it is published.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/37224
Publisher Link: https://ieeexplore.ieee.org/Xplore/home.jsp
ISSN: 2156-9711
Appears in Collections:Closed Access (Computer Science)

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