A Comparative Analysis of Trust Models for Safety Applications in IoT-enabled Vehicular Networks

Farhan Ahmad, Asma Adnane, Fatih Kurugollu, Rasheed Hussain

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Citations (Scopus)


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-of-service 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.

Original languageEnglish
Title of host publication2019 Wireless Days (WD 2019)
PublisherIEEE Computer Society
Number of pages8
ISBN (Electronic)9781728101170
ISBN (Print)9781728101187
Publication statusPublished - 13 Jun 2019
Externally publishedYes
Event11th Wireless Days Conference - Manchester, United Kingdom
Duration: 24 Apr 201926 Apr 2019
Conference number: 11

Publication series

NameIFIP Wireless Days
ISSN (Print)2156-9711
ISSN (Electronic)2156-972X


Conference11th Wireless Days Conference
Abbreviated titleWD 2019
Country/TerritoryUnited Kingdom

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