| Title | A Comparative Analysis of Trust Models for Safety Applications in IoT-Enabled Vehicular Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Ahmad, F., Adnane, A., KURUGOLLU, F., Hussain, R. |
| Conference Name | 2019 Wireless Days (WD) |
| Keywords | authentic trusted information dissemination, black ice, Collaboration, comfortable driving experience, Comparative Analysis, compromised information dissemination, Computational modeling, computer network security, Data models, data oriented trust models, end-to-end delays, entity-oriented trust models, event detection probabilities, false information dissemination, false positive rates, false trust, hybrid trust models, information dissemination, intelligent transportation systems, Internet of Things, Internet-of-Things, IoT-enabled vehicular networks, network entities, network nodes, policy-based governance, probability, pubcrawl, quality-of-service related benchmarks, received information, reliable trusted information dissemination, resilience, Resiliency, Safety, safety applications, Scalability, secure environment, secure trusted network, sensitive information, smart cities, steep-curve warnings, surrounding infrastructure, transportation technology, Trust management, trust models, VANET, vehicular ad hoc networks, Vehicular Ad-hoc Network, vehicular nodes |
| 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-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. |
| DOI | 10.1109/WD.2019.8734204 |
| Citation Key | ahmad_comparative_2019 |
A Comparative Analysis of Trust Models for Safety Applications in IoT-Enabled Vehicular Networks