scholarly journals Hierarchical Hybrid Trust Management Scheme in SDN-Enabled VANETs

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ming Mao ◽  
Peng Yi ◽  
Tao Hu ◽  
Zhen Zhang ◽  
Xiangyu Lu ◽  
...  
Keyword(s):  
Trust Management ◽  
Recognition Rate ◽  
Dynamic Environment ◽  
The Internet ◽  
Connected Vehicle ◽  
Malicious Nodes ◽  
Internet Of Vehicles ◽  
Trust Management System ◽  
Management Scheme ◽  
Trust Management Scheme

One of the principal missions of security in the Internet of Vehicles (IoV) is to establish credible social relationships. The trust management system has been proved to be an effective security solution in a connected vehicle environment. The use of trust management can play a significant role in achieving reliable data collection and dissemination and enhanced user security in the Internet of Vehicles. However, due to a large number of vehicles, the limited computing power of individuals, and the highly dynamic nature of the network, a universal and flexible architecture is required to realize the trust of vehicles in a dynamic environment. The existing solutions for trust management cannot be directly applied to the Internet of Vehicles. To ensure the safe transmission of data between vehicles and overcome the problems of high communication delay and low recognition rate of malicious nodes in the current trust management scheme, an efficient flow forwarding mechanism of the RSU close to the controller in the Software-Defined Vehicular Network is used to establish a hierarchical hybrid trust management architecture. This method evaluates the dynamic trust change of vehicle behavior based on the trust between vehicles and the auxiliary trust management of the infrastructure to the vehicle, combined with static and dynamic information and other indicators. The proposed trust management scheme is superior to the comparative schemes in resisting simple attacks, selective misbehavior attacks, and time-dependent attacks under the condition of ensuring superior real-time performance. Its overall accuracy is higher than that of the baseline scheme.

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.

scholarly journals NOTRINO: a NOvel hybrid TRust management scheme for INternet-Of-vehicles

2021 ◽  
pp. 1-1
Author(s):  
Farhan Ahmad ◽  
Fatih Kurugollu ◽  
Chaker Abdelaziz Kerrache ◽  
Sakir Sezer ◽  
Lu Liu
Keyword(s):  
Trust Management ◽  
Internet Of Vehicles ◽  
Management Scheme ◽  
Trust Management Scheme

scholarly journals A hybrid dual-mode trust management scheme for vehicular networks

2020 ◽  
Vol 16 (7) ◽  
pp. 155014772093937 ◽  
Author(s):  
Ibrahim Abdo Rai ◽  
Riaz Ahmed Shaikh ◽  
Syed Raheel Hassan
Keyword(s):  
Ad Hoc Networks ◽  
Trust Management ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Dual Mode ◽  
Malicious Nodes ◽  
Management Scheme ◽  
Trust Models ◽  
Hoc Networks ◽  
Trust Management Scheme

Vehicular ad-hoc networks allow vehicles to exchange messages pertaining to safety and road efficiency. Building trust between nodes can, therefore, protect vehicular ad-hoc networks from malicious nodes and eliminate fake messages. Although there are several trust models already exist, many schemes suffer from varied limitations. For example, many schemes rely on information provided by other peers or central authorities, for example, roadside units and reputation management centers to ensure message reliability and build nodes’ reputation. Also, none of the proposed schemes operate in different environments, for example, urban and rural. To overcome these limitations, we propose a novel trust management scheme for self-organized vehicular ad-hoc networks. The scheme is based on a crediting technique and does not rely on other peers or central authorities which distinguishes it as an economical solution. Moreover, it is hybrid, in the sense it is data-based and entity-based which makes it capable of revoking malicious nodes and discarding fake messages. Furthermore, it operates in a dual-mode (urban and rural). The simulation has been performed utilizing Veins, an open-source framework along with OMNeT++, a network simulator, and SUMO, a traffic simulator. The scheme has been tested with two trust models (urban and rural). The simulation results prove the performance and security efficacy of the proposed scheme.

scholarly journals Anomaly Detection for Internet of Vehicles: A Trust Management Scheme with Affinity Propagation

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Shu Yang ◽  
Zhihan Liu ◽  
Jinglin Li ◽  
Shangguang Wang ◽  
Fangchun Yang
Keyword(s):  
Anomaly Detection ◽  
Trust Management ◽  
Detection Algorithm ◽  
Intelligent Vehicle ◽  
Detection Scheme ◽  
Internet Of Vehicles ◽  
Management Scheme ◽  
Detection Failure ◽  
Simulation Results ◽  
Trust Management Scheme

Anomaly detection is critical for intelligent vehicle (IV) collaboration. Forming clusters/platoons, IVs can work together to accomplish complex jobs that they are unable to perform individually. To improve security and efficiency of Internet of Vehicles, IVs’ anomaly detection has been extensively studied and a number of trust-based approaches have been proposed. However, most of these proposals either pay little attention to leader-based detection algorithm or ignore the utility of networked Roadside-Units (RSUs). In this paper, we introduce a trust-based anomaly detection scheme for IVs, where some malicious or incapable vehicles are existing on roads. The proposed scheme works by allowing IVs to detect abnormal vehicles, communicate with each other, and finally converge to some trustworthy cluster heads (CHs). Periodically, the CHs take responsibility for intracluster trust management. Moreover, the scheme is enhanced with a distributed supervising mechanism and a central reputation arbitrator to assure robustness and fairness in detecting process. The simulation results show that our scheme can achieve a low detection failure rate below 1%, demonstrating its ability to detect and filter the abnormal vehicles.

scholarly journals Blockchain-Based Solutions for UAV-Assisted Connected Vehicle Networks in Smart Cities: A Review, Open Issues, and Future Perspectives

Telecom ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 108-140
Author(s):  
Paulo Álvares ◽  
Lion Silva ◽  
Naercio Magaia
Keyword(s):  
Traffic Congestion ◽  
Resource Constraints ◽  
Smart Cities ◽  
The Internet ◽  
Connected Vehicle ◽  
Sensitive Data ◽  
Internet Of Vehicles ◽  
Smart Vehicles ◽  
Security Properties ◽  
Vehicle Networks

It had been predicted that by 2020, nearly 26 billion devices would be connected to the Internet, with a big percentage being vehicles. The Internet of Vehicles (IoVa) is a concept that refers to the connection and cooperation of smart vehicles and devices in a network through the generation, transmission, and processing of data that aims at improving traffic congestion, travel time, and comfort, all the while reducing pollution and accidents. However, this transmission of sensitive data (e.g., location) needs to occur with defined security properties to safeguard vehicles and their drivers since attackers could use this data. Blockchain is a fairly recent technology that guarantees trust between nodes through cryptography mechanisms and consensus protocols in distributed, untrustful environments, like IoV networks. Much research has been done in implementing the former in the latter to impressive results, as Blockchain can cover and offer solutions to many IoV problems. However, these implementations have to deal with the challenge of IoV node’s resource constraints since they do not suffice for the computational and energy requirements of traditional Blockchain systems, which is one of the biggest limitations of Blockchain implementations in IoV. Finally, these two technologies can be used to build the foundations for smart cities, enabling new application models and better results for end-users.

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