Vehicular sensor networks (VSNs) have emerged as a paradigm for improving traffic safety in urban cities. However, there are still several issues with VSNs. Vehicles equipped with sensing devices usually upload large amounts of data reports to a remote cloud center for processing and analyzing, causing heavy computation and communication costs. Additionally, to choose an optimal route, it is required for vehicles to query the remote cloud center to obtain road conditions of the potential moving route, leading to an increased communication delay and leakage of location privacy. To solve these problems, this paper proposes an efficient privacy-preserving data sharing (EP 2 DS) scheme for fog-assisted vehicular sensor networks. Specifically, the proposed scheme utilizes fog computing to provide local data sharing with low latency; furthermore, it exploits a super-increasing sequence to format the sensing data of different road segments into one report, thus saving on the resources of communication and computation. In addition, using the modified oblivious transfer technology, the proposed scheme can query the road conditions of the potential moving route without disclosing the query location. Finally, an analysis of security suggests that the proposed scheme can satisfy all the requirements for security and privacy, with the evaluation results indicating that the proposed scheme leads to low costs in computation and communication.

中文翻译：

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雾辅助车载传感器网络的高效隐私保护数据共享。

车辆传感器网络（VSN）已经成为提高城市交通安全性的范例。但是，VSN仍然存在一些问题。配备传感设备的车辆通常会将大量数据报告上传到远程云中心进行处理和分析，从而导致大量的计算和通信成本。另外，为了选择最佳路线，要求车辆查询远程云中心以获得潜在移动路线的路况，这导致增加的通信延迟和位置隐私的泄漏。为了解决这些问题，本文提出了一种用于雾辅助车辆传感器网络的有效的隐私保护数据共享（EP 2 DS）方案。具体地，所提出的方案利用雾计算来提供具有低等待时间的本地数据共享。此外，它利用超递增序列将不同路段的感知数据格式化为一份报告，从而节省了通信和计算资源。另外，使用改进的遗忘传递技术，该方案可以在不公开查询位置的情况下查询潜在移动路线的路况。最后，对安全性的分析表明，该方案可以满足安全性和隐私性的所有要求，评估结果表明，该方案降低了计算和通信成本。所提出的方案可以在不公开查询位置的情况下查询潜在移动路线的路况。最后，对安全性的分析表明，该方案可以满足安全性和隐私性的所有要求，评估结果表明，该方案降低了计算和通信成本。所提出的方案可以在不公开查询位置的情况下查询潜在移动路线的路况。最后，对安全性的分析表明，该方案可以满足安全性和隐私性的所有要求，评估结果表明，该方案降低了计算和通信成本。