A survey of trust management in the Internet of Vehicles

Yan

IEEE Commun. Surv. Tutorials

et al. 2022

Heterogeneous networks (HetNets) merge different types of networks into an integrated network system, which has become a hot research area in recent years towards nextgeneration communication networks. HetNets aim to effectively exploit network resources and provide seamless connectivity for heterogeneous objects. Unlike other networks, HetNets hold such characteristics as heterogeneity, openness, distribution, multidomain involvement, thus are susceptible to various security threats and attacks. Traditional security approaches are not sufficiently effective in defending against them. With extensive study and practice, researchers found that trust models offer effective measures to enhance the security and reliability of a network system. However, there still lacks a comprehensive survey on the recent advances of trust models in HetNets. In this paper, we fill this gap. We first retrospect the history of HetNets research and introduce important concepts related to trust. Then, we propose a set of criteria that a sound trust model should satisfy, which can also serve as a measure to evaluate the quality of a trust model, i.e., Quality of Trust (QoT). We provide taxonomies of trust models and their applications, and continue with a thorough review on trust models in HetNets. Based on the review, a list of open issues is highlighted, and corresponding future research directions are suggested to advance the research on trustworthy HetNets.

Section: Introductionmentioning

confidence: 99%

“…Hussain et al [26] reviewed traditional and emerging TM techniques for VANETs. Hbaieb et al [27] discussed TM in Internet of Vehicles (IoV). In addition, Ahmad et al [28] presented a survey on trust and reputation management in 5G and traditional networks.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Trust Models in Heterogeneous Networks

Yan

IEEE Commun. Surv. Tutorials

et al. 2022

“…Vehicles will be able to exchange information with many more entities, such as pedestrians, infrastructure, and networks, via Vehicle-to-Everything (V2X) communications [ 21 ]. With all these entities connected through vehicles and with many others being designed for the Internet of Things (IoT), the term ad hoc was considered obsolete by many researchers as it does not comprehensively cover the wide range of technologies involved within/connecting these entities [ 22 , 23 , 24 , 25 ]. The concept of the Internet of Vehicles (IoV) has emerged as a broader concept to better represent the new era of vehicular networks [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Approach for Cloud-Fog-Edge Computing SDN-VANETs Based on Fuzzy Logic: Effect of Different Parameters on Coordination and Management of Resources

Qafzezi

Bylykbashi

Ampririt

et al. 2022

Sensors

The integration of cloud-fog-edge computing in Software-Defined Vehicular Ad hoc Networks (SDN-VANETs) brings a new paradigm that provides the needed resources for supporting a myriad of emerging applications. While an abundance of resources may offer many benefits, it also causes management problems. In this work, we propose an intelligent approach to flexibly and efficiently manage resources in these networks. The proposed approach makes use of an integrated fuzzy logic system that determines the most appropriate resources that vehicles should use when set under various circumstances. These circumstances cover the quality of the network created between the vehicles, its size and longevity, the number of available resources, and the requirements of applications. We evaluated the proposed approach by computer simulations. The results demonstrate the feasibility of the proposed approach in coordinating and managing the available SDN-VANETs resources.

“…FC helps cloud computing perform its role more efficiently. Considering the features of cloud computing, traffic safety [12,13], electronic health [5], web content delivery [14], augmented reality [15], virtual reality [16] and big data analysis [17], including new IoT applications and services are suitable for cloud computing. Due to the characteristics of fog such as het-erogeneous environment, flexibility, dynamics and geographical distribution, fog can be in a vulnerable and uncertain situation.…”

Section: Introductionmentioning

confidence: 99%

TTLA: Two-way Trust Between Clients and Fog Servers Using Bayesian Learning Automata

Bakhtiari

Rafighi

Ahsan

2022

Preprint

Fog computing (FC) is a promising paradigm to use as an efficientarchitecture for the Internet of Things applications. Proximity, low latency,flexible resource power, and distributed structure of this architecture are somebenefits of it. A huge number of generated data and their requisites to real-timeprocess causes fog nodes offload number of tasks to the others that make trustissues. Here, each clients prefers to offload task to a trusted server, also eachserver tends to service the trusted clients. This may takes a long especiallywhen we want to consume less energy. In order to encounter this problem,in this paper, we propose a two-way trust management strategy based onBayesian learning automata. The proposed approach outperforms the otherstate-of-the-art approaches in terms of the energy consumption, network usage,latency, response time, and trust value.