Faith in Vehicles: A Set of Evaluation Criteria for Trust Management in Vehicular Ad-Hoc Network

Ahmad, Farhan; Hall, Jordan; Adnane, Asma; Franqueira, Virginia N. L.

doi:10.1109/ithings-greencom-cpscom-smartdata.2017.13

Cited by 25 publications

(18 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1) Trust Model Accuracy: This class of evaluation metrics is defined specifically to evaluate the accuracy of MARINE in presence of MiTM attackers. Therefore, following three metrics are used which are considered as one of the most important trust evaluation criteria within highly mobile networks like VANET [45].…”

Section: Performance Evaluation Metricsmentioning

confidence: 99%

MARINE: Man-in-the-Middle Attack Resistant Trust Model in Connected Vehicles

Ahmad

Kurugöllü

Adnane

et al. 2020

IEEE Internet Things J.

Self Cite

114

View full text Add to dashboard Cite

Vehicular Ad-hoc NETwork (VANET), a novel technology holds a paramount importance within the transportation domain due to its abilities to increase traffic efficiency and safety. Connected vehicles propagate sensitive information which must be shared with the neighbors in a secure environment. However, VANET may also include dishonest nodes such as Man-in-the-Middle (MiTM) attackers aiming to distribute and share malicious content with the vehicles, thus polluting the network with compromised information. In this regard, establishing trust among connected vehicles can increase security as every participating vehicle will generate and propagate authentic, accurate and trusted content within the network. In this paper, we propose a novel trust model, namely, Man-in-the-middle Attack Resistance trust model IN connEcted vehicles (MARINE), which identifies dishonest nodes performing MiTM attacks in an efficient way as well as revokes their credentials. Every node running MARINE system first establishes trust for the sender by performing multi-dimensional plausibility checks. Once the receiver verifies the trustworthiness of the sender, the received data is then evaluated both directly and indirectly. Extensive simulations are carried out to evaluate the performance and accuracy of MARINE rigorously across three MiTM attacker models and the bench-marked trust model. Simulation results show that for a network containing 35% MiTM attackers, MARINE outperforms the state of the art trust model by 15%, 18%, and 17% improvements in precision, recall and F-score, respectively.

show abstract

Section: Performance Evaluation Metricsmentioning

confidence: 99%

MARINE: Man-in-the-Middle Attack Resistant Trust Model in Connected Vehicles

Ahmad

Kurugöllü

Adnane

et al. 2020

IEEE Internet Things J.

Self Cite

114

View full text Add to dashboard Cite

show abstract

“…To determine such events within the network, we defined EDP. TMs should have the capability to detect true events efficiently [25]. Let E T ot are the overall events generated in the network.…”

Section: Evaluation Metricsmentioning

confidence: 99%

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

Ahmad

Adnane

Kurugöllü

et al. 2019

2019 Wireless Days (WD)

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…[4] D. VANET-Based Smart Parking Vehicular Ad-Hoc Network (VANET) uses wireless sensor technology to provide a better platform for smart parking systems. [3][5] The various needs for parking reservation such as service, monitoring and automated guidance are provided by this system. [4] [2] E. Resource Allocation In this type of system the parking is allocated and a proper network is used to allocate resource.…”

Section: Parking Lot Detectionmentioning

confidence: 99%

Smart Reserved Parking System using Internet of Things (IoT)

Selvan*,

Roy,

Deepak

et al. 2019

IJRTE

View full text Add to dashboard Cite

A recent survey shows that in most parking systems, the number of cars are always more than the number of available parking slots, thus to fix this problem we propose a "smart" parking system which reserves a space for parking the vehicles prior to arrival. The smart parking reserves space from private parking's, inbuilt parking's in malls etc and also you can utilize the garages of private house owners, provided they have signed up for the service. The user can reserve the parking system prior arrival from our app. The App will look for parking spots that are available within a 300m radius from the selected destination. The app locks a particular spot when the user is near the location and the ETA is less than 30 minutes. To achieve this process 3 different algorithms are used. There is also a "Prime" feature which has some upgraded features for premium users.

show abstract

Faith in Vehicles: A Set of Evaluation Criteria for Trust Management in Vehicular Ad-Hoc Network

Cited by 25 publications

References 35 publications

MARINE: Man-in-the-Middle Attack Resistant Trust Model in Connected Vehicles

MARINE: Man-in-the-Middle Attack Resistant Trust Model in Connected Vehicles

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

Smart Reserved Parking System using Internet of Things (IoT)

Contact Info

Product

Resources

About