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


CVCC作为一种能够拓宽移动计算网络服务提供的特殊云计算平台，近年来引起了广泛关注。车辆群体感知是 CVCC 应用的主要候选者，因为联网车辆可以提供巨大的传感、计算和存储资源。传感数据的真实性非常重要，因为恶意车辆可能会导致传感结果不准确。在这项工作中，我们提出了 RTSense，它可以在 CVCC 中实现基于信任的众感知服务。该架构将系统分为控制平面和数据平面，其中信任机构和服务提供商位于控制平面，车辆和雾存在于数据平面。我们提供匿名车辆身份验证、交互式过滤真相发现和可靠群智感知的信任管理解决方案。实验分析表明，RTSense能够有效隔离恶意车辆和可信车辆。我们还确定了有趣的未来方向以及可能的解决方案。