With the development of intelligent vehicles, the research on road condition monitoring has attracted much attention in the vehicular ad hoc network (VANET). The combination of VANET, cloud computing, and fog computing provides on‐demand computational resources while creating a lot of new challenges. In this paper, we propose an efficient privacy‐preserving cloud‐fog–based traceable road surface condition monitoring scheme. We use certificateless aggregate signcryption technology to implement multiple messages aggregation verification, which greatly saves computing resources and bandwidth. Moreover, we also use a traceable vehicle pseudo identity generated by a trace authority (TRA) to achieve identity privacy protection. To ensure the privacy of the fog and cloud server, the road condition information is reported in ciphertext format. In addition, the cloud server can perform ciphertext equivalence test operation to distinguish different road condition information of the same area without compromising the confidentiality. The ciphertext, which exceeds the set threshold, is uploaded to the blockchain. It can be stored permanently and never be tampered with or deleted. Finally, we demonstrate the correctness of the proposed scheme and show that the proposed scheme has higher efficiency.

中文翻译：

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VANET中基于隐私保护的基于云雾的可跟踪路况监控

随着智能车辆的发展，道路状态监控的研究已经引起了车辆自组织网络（VANET）的广泛关注。VANET，云计算和雾计算的结合提供了按需计算资源，同时带来了许多新挑战。在本文中，我们提出了一种有效的基于云雾的隐私保护性可追踪路面状态监测方案。我们采用无证书聚合签密技术来实现多消息聚合验证，大大节省了计算资源和带宽。此外，我们还使用跟踪授权机构（TRA）生成的可跟踪的车辆伪身份来实现身份隐私保护。为了确保雾和云服务器的私密性，路况信息以密文格式报告。此外，云服务器可以执行密文等效测试操作，以区分同一区域的不同路况信息，而不会影响机密性。超过设置的阈值的密文被上传到区块链。它可以永久存储，永远不会被篡改或删除。最后，我们证明了该方案的正确性，并表明该方案具有较高的效率。