CVCC has garnered significant attention in recent years as a special cloud computing platform capable of broadening network service provisioning in mobile computing. Vehicular crowdsensing is a prime candidate for CVCC applications as connected vehicles can provide tremendous sensing, computing, and storage resources. Truthfulness of sensing data is very important, as malicious vehicles may create inaccuracy in sensing results. In this work, we propose RTSense, which enables trust-based crowdsensing services in CVCC. The architecture divides the system into control and data planes, where the trust authority and service providers sit in the control plane, and vehicles and fogs exist in the data plane. We provide solutions for anonymous vehicle authentication, interactive filtering truth discovery, and trust management for reliable crowdsensing. The experimental analysis shows that RTSense can effectively segregate malicious and trustworthy vehicles. We also identify interesting future directions along with possible solutions.

中文翻译：

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RTSense：在CVCC中提供可靠的基于信任的人群感知服务

近年来，CVCC作为一种特殊的云计算平台已经得到了广泛的关注，该平台能够扩展移动计算中的网络服务供应。车载人群感知技术是CVCC应用的主要选择，因为联网车辆可以提供巨大的传感，计算和存储资源。感测数据的真实性非常重要，因为恶意车辆可能会在感测结果中产生不准确之处。在这项工作中，我们提出了RTSense，它可以在CVCC中启用基于信任的众包服务。该体系结构将系统分为控制平面和数据平面，信任授权机构和服务提供者位于控制平面中，而数据平面中存在车辆和烟雾。我们提供用于匿名车辆身份验证，交互式过滤真相发现和信任管理的解决方案，以实现可靠的人群感知。实验分析表明，RTSense可以有效隔离恶意和可信赖的工具。我们还将确定有趣的未来方向以及可能的解决方案。