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ASAP: An Anonymous Smart-parking and Payment Scheme in Vehicular Networks
IEEE Transactions on Dependable and Secure Computing ( IF 7.3 ) Pub Date : 2020-07-01 , DOI: 10.1109/tdsc.2018.2850780
Liehuang Zhu , Meng Li , Zijian Zhang , Zhan Qin

Cruising for a vacant and economical parking spot causes not only time-consuming and frustrating driving experiences, but fuel waste and air pollution. Public parking spots in crowded cities are scarce and expensive. On the contrary, private parking spots usually have low utilization rates, and the spot suppliers are willing to provide their extra parking resources due to a maintenance cost by charging parking fees. Given this situation, it is imperative to call for a smart parking system that collects and provides private parking spots (e.g., around home or workplace) to ease public parking concerns. However, when the suppliers (drivers) are providing (querying for) parking spots, their privacy (e.g., location, identity) is inevitable to be disclosed and existing parking schemes cannot achieve anonymous authentication and anonymous payment simultaneously. To tackle these problems, we propose an anonymous smart-parking and payment (ASAP) scheme in vehicular networks. Specifically, we use short randomizable signature to provide anonymity and conditional privacy. We achieve quick result matching with hashmap and anonymous payment with E-cash. Security analysis and experimental results show that ASAP can protect privacy in a conditional way and has low computational costs and communication overhead.

中文翻译:

尽快:车载网络中的匿名智能停车和支付方案

为空置且经济的停车位巡航不仅会导致耗时且令人沮丧的驾驶体验,还会造成燃料浪费和空气污染。拥挤城市中的公共停车位稀缺且价格昂贵。相反,私人停车位的利用率通常较低,而停车位供应商由于维护成本愿意通过收取停车费来提供额外的停车资源。鉴于这种情况,迫切需要一个智能停车系统来收集和提供私人停车位(例如,家庭或工作场所周围)以缓解公共停车问题。然而,当供应商(司机)提供(查询)停车位时,他们的隐私(例如位置、身份)是不可避免的,现有的停车方案无法同时实现匿名认证和匿名支付。为了解决这些问题,我们提出了一种车载网络中的匿名智能停车和支付(ASAP)方案。具体来说,我们使用短的可随机签名来提供匿名和有条件的隐私。我们实现了hashmap的快速结果匹配和E-cash的匿名支付。安全性分析和实验结果表明,ASAP 可以有条件地保护隐私,并且具有较低的计算成本和通信开销。我们实现了hashmap的快速结果匹配和E-cash的匿名支付。安全性分析和实验结果表明,ASAP 可以有条件地保护隐私,并且具有较低的计算成本和通信开销。我们实现了hashmap的快速结果匹配和E-cash的匿名支付。安全性分析和实验结果表明,ASAP 可以有条件地保护隐私,并且具有较低的计算成本和通信开销。
更新日期:2020-07-01
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