A Hybrid Trust Management Heuristic for VANETs

Mahmood, Adnan; Butler, Bernard; Zhang, Wei Emma; Sheng, Quan Z.; Siddiqui, Sarah

doi:10.1109/percomw.2019.8730675

Cited by 39 publications

(25 citation statements)

References 18 publications

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“…Mahmood et al presented a novel combined trust model which relies on traditional clustering mechanism to evaluate trust on the network nodes [31]. In this trust model, CH is elected in the network based on the trust of the participating nodes and their available resources.…”

Section: Combined Trust Models (Ct)mentioning

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: Combined Trust Models (Ct)mentioning

confidence: 99%

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

Ahmad

Kurugöllü

Kerrache

et al. 2021

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…Recently, Mahmood et al presented a novel combined trust model which relies on traditional clustering mechanism to evaluate trust of the network nodes [32]. In this trust model, cluster head (CH) is elected in the network based on the trust of the participating nodes and their available resources.…”

Section: Combined Trust Models (Ctm)mentioning

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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“…Mahmood et al [23] proposed a hybrid trust management scheme to identify malicious vehicles and to prevent them from being elected as the GH. Their scheme encompasses a composite metric (i.e., trust values assigned to the vehicles coupled with their resource availability) for GH and proxy GH selection via intermittent elections.…”

Section: Related Workmentioning

confidence: 99%

“…Some of them [16,17] were proposed to deal with a specific type of message while others [3,6,19] used decentralized trust systems, relying on interactions with neighbors, which is not practical in the highly dynamic environment of a VANET. Several works [4,10,15,23] tried to cope with a specific type of attack, which can be a limitation whereas several others were designed to handle a specific challenge such as authentication [24], privacy [20,25] or localization [18,22]. Therefore, unlike other solutions, we propose an adaptive trust-based security scheme for message exchange in VANETs based on VGA, our new clustering algorithm designed to handle the dynamicity such networks.…”

Section: Related Workmentioning

confidence: 99%

TSME: a trust-based security scheme for message exchange in vehicular Ad hoc networks

Abassi

Douss

Sauveron

2020

Hum. Cent. Comput. Inf. Sci.

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A Vehicular Ad hoc NETwork (VANET) is a self-organized network formed by connected vehicles, which allows the exchange of useful traffic information in a timely manner. In such a context, evaluating the reliability of transmissions is vital. Trust can be used to promote such healthy collaboration. In fact, trust enables collaborating vehicles to counter uncertainty and suspicion by establishing trustworthy relationships. The main contribution of this paper is the proposition of a trust-based security scheme for message exchange in a VANET called TSME. Because of VANET characteristics, including dynamicity and high speed, we first proposed a VANET Grouping Algorithm (VGA); a suitable clustering algorithm organizing the network into groups with elected Group-Heads. Second, built on the VGA, we defined our trust management scheme dealing with vehicles’ reputations. Finally, we proposed a formal specification of the scheme using an inference system, and conducted a formal validation to assess its completeness and soundness rather than conducting simulations where some potentially rare conflicting or malfunctioning situations might not be detected. Soundness was proven by showing that there were no conflicts in our scheme, and completeness was established by assessing that all potential situations could be handled. The results obtained showed that our scheme for evaluating the veracity of exchanged messages is formally sound and complete.

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A Hybrid Trust Management Heuristic for VANETs

Cited by 39 publications

References 18 publications

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

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

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

TSME: a trust-based security scheme for message exchange in vehicular Ad hoc networks

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