On the impact of antenna patterns on VANET simulation

Eckhoff, David; Brummer, Alexander; Sommer, Christoph

doi:10.1109/vnc.2016.7835925

Cited by 27 publications

(9 citation statements)

References 16 publications

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“…However, in case of successful verification of the data, M Eval accepts the message and reward the sender node with maximum trust value. [41], [42]. This directly impacts the M T R and the neighbouring vehicles may be unable to receive the transmitted messages in time.…”

Section: A Overview Of the Proposed Trust Modelmentioning

confidence: 99%

NOTRINO: A NOvel Hybrid TRust Management Scheme for INternet-of-Vehicles

Ahmad

Kurugöllü

Kerrache

et al. 2021

IEEE Trans. Veh. Technol.

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Internet-of-Vehicles (IoV) is a novel technology to ensure safe and secure transportation by enabling smart vehicles to communicate and share sensitive information with each other. However, the realization of IoV in real-life depends on several factors, including the assurance of security from attackers and propagation of authentic, accurate and trusted information within the network. Further, the dissemination of compromised information must be detected and vehicle disseminating such malicious messages must be revoked from the network. To this end, trust can be integrated within the network to detect the trustworthiness of the received information. However, most of the trust models in the literature relies on evaluating node or data at the application layer. In this study, we propose a novel hybrid trust management scheme, namely, NOTRINO, which evaluates trustworthiness on the received information in two steps. First step evaluates trust on the node itself at transport layer, while second step computes trustworthiness of the data at application layer. This mechanism enables the vehicles to efficiently model and evaluate the trustworthiness on the received information. The performance and accuracy of NOTRINO is rigorously evaluated under various realistic trust evaluation criteria (including precision, recall, F-measure and trust). Furthermore, the efficiency of NOTRINO is evaluated in presence of malicious nodes and its performance is benchmarked against three hybrid trust models. Extensive simulations indicate that NOTRINO achieve over 75% trust level as compared to benchmarked trust models where trust level falls below 60% for a network with 35% malicious nodes. Similarly, 92% precision and 87% recall are achieved simultaneously with NOTRINO for the same network, comparing to benchmark trust models where precision and recall falls below 87% and 85% respectively.

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Section: A Overview Of the Proposed Trust Modelmentioning

confidence: 99%

NOTRINO: A NOvel Hybrid TRust Management Scheme for INternet-of-Vehicles

Ahmad

Kurugöllü

Kerrache

et al. 2021

IEEE Trans. Veh. Technol.

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“…3. All private vehicles in the network periodically check if there is an approaching bus from behind, with a sensing distance limit of 250 m. This parameter is set according to the expected wireless communication range of V2X systems [32]- [34]. Once a vehicle detects an approaching bus on its current or adjacent lane, it determines whether it affects the ideal bus operation according to equations (1), (2), (4), and (5).…”

Section: A System Designmentioning

confidence: 99%

Design and Evaluation of V2X-Based Dynamic Bus Lanes

Xie¹,

Ramanathan²,

Rau³

et al. 2021

IEEE Access

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In mixed traffic, the popularity of public transport (PT) is still affected by relatively low operating speeds compared to private vehicles. To overcome this, PT priority measures have been proposed and adopted extensively. However, existing solutions such as exclusive bus lanes or traffic signal priorities are often limited in terms of available road space or large-scale feasibility. In this paper, we propose a Vehicle-to-Vehicle/Infrastructure (V2X)-based dynamic PT priority concept in mixed traffic called Virtual Right of Way (VROW). Private vehicles in front of a PT vehicle make spaces through collaborative lane changes within a dynamic clearing distance computed based on the current traffic situation. This allows a more efficient allocation of road space while still maintaining a high level of PT priority. In this paper, we evaluate the potential traffic impacts of VROW on both PT and private vehicles by conducting microscopic traffic simulations within a small urban network and a highway scenario. Comparisons with mixed traffic and other existing bus lane priority strategies, in terms of operation and safety concerns, are analyzed and highlighted. Simulation results show that VROW improves the PT operational performance with only a marginal influence on private vehicles measured by their average travel time and the number of lane changes.INDEX TERMS Dynamic bus lane, microscopic traffic simulation, traffic impact analysis, V2X.

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“…Step 1: Node-centric trust computation: In the first step, MARINE evaluates trust on sender transmitting the safety messages. The communication module embedded in the vehicles enables them to share messages with the neighbouring vehicles in a specific range, which directly depends on the height and position of the antenna on the transmitting vehicle [33], [34]. A slight change in the antenna position and height can distort the signal strength, which ultimately results in a signal loss.…”

Section: B Inter-vehicular Trust Computationmentioning

confidence: 99%

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

Ahmad

Kurugöllü

Adnane

et al. 2020

IEEE Internet Things J.

113

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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.

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On the impact of antenna patterns on VANET simulation

Cited by 27 publications

References 16 publications

NOTRINO: A NOvel Hybrid TRust Management Scheme for INternet-of-Vehicles

NOTRINO: A NOvel Hybrid TRust Management Scheme for INternet-of-Vehicles

Design and Evaluation of V2X-Based Dynamic Bus Lanes

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

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