scholarly journals DyReT: A Dynamic Rule Framing Engine Equipped With Trust Management for Vehicular Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 72757-72767
Author(s):  
Hesham El-Sayed ◽  
Henry Alexander ◽  
Manzoor Ahmed Khan ◽  
Parag Kulkarni ◽  
Salah Bouktif
Keyword(s):  
Trust Management ◽  
Vehicular Networks

scholarly journals Trust management in social Internet of vehicles: Factors, challenges, blockchain, and fog solutions

2019 ◽  
Vol 15 (1) ◽  
pp. 155014771982582 ◽  
Author(s):  
Razi Iqbal ◽  
Talal Ashraf Butt ◽  
Muhammad Afzaal ◽  
Khaled Salah
Keyword(s):  
Internet Of Things ◽  
Trust Management ◽  
Vehicular Networks ◽  
High Efficiency ◽  
Fog Computing ◽  
Trust Model ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Social Internet Of Things ◽  
Trust Models

The Internet of things is the next stage in the evolution of the Internet that is being materialized with the integration of billions of smart objects. The state-of-the-art communication technologies have enabled the previously isolated devices to become an active part of the Internet. This constant connectivity opens new avenues for novel applications such as the realization of social Internet of things and its subdomain the social Internet of vehicles. Socializing requires sharing of information that entails trust, especially in an open and broad social environment. This article highlights the key factors involved in conceptualizing an efficient trust model for social Internet of vehicles. Furthermore, it focuses on the unique challenges involved in designing the trust models for social Internet of vehicles. Several trust models exist in literature; however, most of the existing trust models are specific to their domains, for example, Internet of things, social Internet of things, or general vehicular networks. This article presents a brief review of the trust models that have the potential to be implemented in Social Internet of vehicles. Finally, the authors present an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.

scholarly journals Trust on the Ratee: A Trust Management System for Social Internet of Vehicles

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Fangyu Gai ◽  
Jiexin Zhang ◽  
Peidong Zhu ◽  
Xinwen Jiang
Keyword(s):  
Trust Management ◽  
Service Discovery ◽  
Vehicular Networks ◽  
The Novel ◽  
Malicious Nodes ◽  
Internet Of Vehicles ◽  
Misleading Information ◽  
Traffic Conditions ◽  
Trust Management System ◽  
Trust Models

The integration of social networking concepts with Internet of Vehicles (IoV) has led to the novel paradigm “Social Internet of Vehicles (SIoV),” which enables vehicles to establish social relationships autonomously to improve traffic conditions and service discovery. There is a growing requirement for effective trust management in the SIoV, considering the critical consequences of acting on misleading information spread by malicious nodes. However, most existing trust models are rater-based, where the reputation information of each node is stored in other nodes it has interacted with. This is not suitable for vehicular environment due to the ephemeral nature of the network. To fill this gap, we propose a Ratee-based Trust Management (RTM) system, where each node stores its own reputation information rated by others during past transactions, and a credible CA server is introduced to ensure the integrality and the undeniability of the trust information. RTM is built based on the concept of SIoV, so that the relationships established between nodes can be used to increase the accuracy of the trustworthiness. Experimental results demonstrate that our scheme achieves faster information propagation and higher transaction success rate than the rater-based method, and the time cost when calculating trustworthiness can meet the demand of vehicular networks.

Blockchain-Based Decentralized Trust Management in Vehicular Networks

2019 ◽  
Vol 6 (2) ◽  
pp. 1495-1505 ◽  
Author(s):  
Zhe Yang ◽  
Kan Yang ◽  
Lei Lei ◽  
Kan Zheng ◽  
Victor C. M. Leung
Keyword(s):  
Trust Management ◽  
Vehicular Networks

scholarly journals Blockchain-Based Secure Data Storage for Distributed Vehicular Networks

2020 ◽  
Vol 10 (6) ◽  
pp. 2011 ◽  
Author(s):  
Muhammad Umar Javed ◽  
Mubariz Rehman ◽  
Nadeem Javaid ◽  
Abdulaziz Aldegheishem ◽  
Nabil Alrajeh ◽  
...  
Keyword(s):  
Data Storage ◽  
Trust Management ◽  
Vehicular Networks ◽  
Service Providers ◽  
Storage System ◽  
Security And Privacy ◽  
Service Provisioning ◽  
Smart Vehicles ◽  
File Storage ◽  
Secure Data

In this paper, a blockchain-based secure data sharing mechanism is proposed for Vehicular Networks (VNs). Edge service providers are introduced along with ordinary nodes to efficiently manage service provisioning. The edge service providers are placed in the neighborhood of the ordinary nodes to ensure smooth communication between them. The huge amount of data generated by smart vehicles is stored in a distributed file storage system, known as Interplanetary File System (IPFS). It is used to tackle the issues related to data storage in centralized architectures, such as data tampering, lack of privacy, vulnerability to hackers, etc. Monetary incentives are given to edge vehicle nodes to motivate them for accurate and timely service provisioning to ordinary nodes. In response, ordinary nodes give reviews to the edge nodes against the services provided by them, which are further stored in a blockchain to ensure integrity, security and transparency. Smart contracts are used to automate the system processes without the inclusion of an intermediate party and to check the reviews given to the edge nodes. To optimize gas consumption and to enhance the system performance, a Proof of Authority (PoA) consensus mechanism is used to validate the transactions. Moreover, a caching system is introduced at the edge nodes to store frequently used services. Furthermore, both security and privacy are enhanced in the proposed system by incorporating a symmetric key cryptographic mechanism. A trust management mechanism is also proposed in this work to calculate the nodes’ reputation values based upon their trust values. These values determine the authenticity of the nodes involved in the network. Eventually, it is concluded from the simulation results that the proposed system is efficient for VNs.

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