2134/37224
Farhan Ahmad
Farhan
Ahmad
Asma Adnane
Asma
Adnane
Fatih Kurugollu
Fatih
Kurugollu
Rasheed Hussain
Rasheed
Hussain
A comparative analysis of trust models for safety applications in IoT-enabled vehicular networks
Loughborough University
2019
Trust models
Internet-of-things
Smart cities
Intelligent transportation systems
Vehicular Ad-hoc network
Information and Computing Sciences not elsewhere classified
2019-03-18 13:52:49
Conference contribution
https://repository.lboro.ac.uk/articles/conference_contribution/A_comparative_analysis_of_trust_models_for_safety_applications_in_IoT-enabled_vehicular_networks/9404861
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.