School of Information Engineering, Chang'an University, Xi'an 710064, China.
Sensors (Basel). 2020 Jan 16;20(2):514. doi: 10.3390/s20020514.
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.
车联网（VSN）已经成为提高城市交通安全的范例。然而，VSN 仍然存在一些问题。配备有传感设备的车辆通常会将大量的数据报告上传到远程云中心进行处理和分析，这会导致巨大的计算和通信开销。此外，为了选择最佳路线，车辆需要查询远程云中心以获取潜在移动路线的路况，这会导致通信延迟增加和位置隐私泄露。为了解决这些问题，本文提出了一种用于雾辅助车联网的高效隐私保护数据共享（EP2DS）方案。具体来说，该方案利用雾计算来提供具有低延迟的本地数据共享；此外，它利用超递增序列将不同路段的传感数据格式化为一个报告，从而节省了通信和计算资源。此外，使用修改后的盲目传输技术，该方案可以在不泄露查询位置的情况下查询潜在移动路线的路况。最后，安全性分析表明，所提出的方案可以满足安全和隐私的所有要求，评估结果表明，所提出的方案在计算和通信方面的成本较低。
