面向VANETs的智能信任管理

R. Atwah, P. Flocchini, A. Nayak
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引用次数: 3

摘要

在车辆应用中,额外基础设施部署(如路边单元(rsu)、蜂窝网络和移动云计算)的成本是提高交通服务质量的障碍。一些研究论文提出了部分依赖雾计算来支持现有基础设施的想法。本文提出了在信任评估过程中引入雾节点的思想。通过在车辆自组织网络(VANETs)中集成雾节点作为协调器资源,可以显著提高服务和应用的质量。雾节点可以执行一些服务来减轻代理的负担,包括事件检测、簇头选择和错误行为检测。此外,我们提出了一种新的基于任务的信任体验,通过检查其历史记录,根据任务类型评估车辆的可信度。所提出的框架通过利用车辆的历史记录来减少代理之间的通信需求。此外,所提出的模型使簇头不仅可以使用最可信的车辆,而且可以为特定任务使用最胜任的车辆。
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Towards Smart Trust Management of VANETs
In vehicular applications, the cost of additional infrastructure deployments such as roadside units (RSUs), cellular networks, and mobile cloud computing is an obstacle towards the enhancement of the quality of the traffic provided services. The idea of partial reliance on fog computing to support the existing infrastructure is proposed in few research papers. In this paper, we conceive the idea of involving fog nodes in the trust evaluation process. By integrating fog nodes as coordinator resources in Vehicle Ad hoc Networks (VANETs), the quality of services and applications can be significantly enhanced. Possible services fog nodes can perform to reduce the burden on agents include event detection, cluster head selection, and misbehaviour detection. Also, we propose a novel task-based trust experience that evaluates the trustworthiness of a vehicle according to the type of task demanded by examining its historical records. The proposed framework reduces communication demand between the agents by leveraging a vehicle's historical records. Also, the proposed model enables the cluster head to employ not only the most trusted vehicle but also the most competent vehicle for a specific task.
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