RITA: RIsk‐aware Trust‐based Architecture for collaborative multi‐hop vehicular communications

Kerrache, Chaker Abdelaziz; Calafate, Carlos T.; Lagraa, Nasreddine; Cano, Juan-Carlos; Manzoni, Pietro

doi:10.1002/sec.1618

Cited by 20 publications

(9 citation statements)

References 43 publications

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“…The proposed solution enables objective and subjective trust assessment of vehicles. In a previous work, Kerrache et al 17 designed a trust-based framework based on a developed intrusion detection module (IDM) and data-centric verification. In the work by Kerrache et al, 18 a trust-based scheme was proposed that adopted threshold adaptive control technique to detect intelligent malicious behaviors.…”

Section: Related Workmentioning

confidence: 99%

A hybrid trust model based on communication and social trust for vehicular social networks

Fan

Shen

et al. 2022

International Journal of Distributed Sensor Networks

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Vehicular social networks are emerging hybrid networks that combine traditional vehicular networks and social networks, with two key types of nodes, that is, vehicles and drivers. Since vehicle behaviors are controlled or influenced by drivers, the trustworthiness of a vehicle node is essentially determined by its own communication behaviors and its driver’s social characteristics. Therefore, human factors should be considered in securing the communication in vehicular social networks. In this article, we propose a hybrid trust model that considers both communication trust and social trust. Within the proposed scheme, we first construct a communication trust model to quantify the trust value based on the interactions between vehicle nodes, and then develop a social trust model to measure the social trust based on the social characteristics of vehicle drivers. Based on these two trust models, we compute the combined trust assessment of a vehicle node in vehicular social networks. Extensive simulations show that the proposed hybrid trust model improves the accuracy in evaluating the trustworthiness of vehicle nodes and the efficiency of communication in vehicular social networks.

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Section: Related Workmentioning

confidence: 99%

A hybrid trust model based on communication and social trust for vehicular social networks

Fan

Shen

et al. 2022

International Journal of Distributed Sensor Networks

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“…Vehicular Ad Hoc Networks (VANETs) are usually used to reduce the traffic accidents, improve traffic efficiency and safety, promote commercial or infotainment products etc. All the applications are based on the exchange of data among nodes, so not only reliable data delivery but also the authenticity and reliability of the data itself are prerequisite [3]. Vehicles to communicate on the roads, vehicular networks is improve the traffic safety.…”

Section: Related Workmentioning

confidence: 99%

VANET: Trust Evaluation Using Artificial Neural Network

Mahalakshmi

Vinitha

et al. 2021

Advances in Parallel Computing Technologies and Applications

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There is an increasing emphasis on enhancing the efficiency traffic management systems. Information is exchanged between the vehicular nodes to efficiently monitor and control huge volumes of vehicle. All existing applications in this area have focused on reliable data exchange and authentication process of vehicular nodes to forward messages. This study proposes a new entity centric trust framework using decision tree classification and artificial neural networks. Decision tree classification is used to derive rules for trust calculation and artificial neural networks are used to self-train the vehicular nodes, when expected value is not met. This model uses multifaceted role and distance based metrics like Euclidean distance to estimate the trust. The proposed entity centric trust model, uses a versatile new direct and recommended trust evaluation strategy to compute trust values. The suggested model is simple, reliable and efficient in comparison to the other popular entity centric trust models.

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“…erefore, the sending cost is higher which can affect the participation of nodes in the network. In [87], Kerrache et al introduced risk-aware trust-based architecture (RITA) to evaluate the trust among vehicles for an independent period. is scheme utilizes a multihop broadcast communication technique for V2V and V2I message communication that could ensure efficient dissemination of safety messages.…”

Section: Entity-oriented Trust Modelmentioning

confidence: 99%

Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey

Sheikh

Liang

Wang

2020

Wireless Communications and Mobile Computing

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Vehicular networks are becoming a prominent research field in the intelligent transportation system (ITS) due to the nature and characteristics of providing high-level road safety and optimized traffic management. Vehicles are equipped with the heavy communication equipment which requires a high power supply, on-board computing device, and data storage devices. Many wireless communication technologies are deployed to maintain and enhance the traffic management system. The ITS is capable of providing services to the traffic authorities and precautionary measures to the drivers and passengers. Several methods have been proposed for discussing the security and privacy issues for the vehicular ad hoc networks (VANETs) and vehicular cloud computing (VCC). They receive a great deal of attention from researchers around the world since they are new technologies, and they can improve road safety and enhance traffic flow by utilizing the vehicles resources and communication system. Firstly, the VANETs are presented, including the basic overview, characteristics, threats, and attacks. The location privacy methodologies are elaborated, which can protect the confidential information of the vehicle, such as the location detail and driver information. Secondly, the trust management models in the VANETs are comprehensively discussed, followed by the comparison of the cryptography and trust models in terms of different kinds of attacks. Then, the simulation tools and applications of the VANETs are discussed, and the evolution is presented from the VANETs to VCC in the vehicular network. Thirdly, the VCC is discussed from its architecture and the security and privacy issues. Finally, several research challenges on the VANETs and VCC are presented. In sum, this survey comprehensively covers the location privacy and trust management models of the VANETs and discusses the security and privacy issues in the VCC, which fills the gap of existing surveys. Also, it indicates the research challenges in the VANETs and VCC.

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RITA: RIsk‐aware Trust‐based Architecture for collaborative multi‐hop vehicular communications

Abstract: offering short end-to-end delays and low packet loss ratios.

Cited by 20 publications

References 43 publications

A hybrid trust model based on communication and social trust for vehicular social networks

A hybrid trust model based on communication and social trust for vehicular social networks

VANET: Trust Evaluation Using Artificial Neural Network

Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey

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