停车服务为司机提供了寻找空闲停车位的便利，但现有的大多数停车方案将停车请求上传至云服务器进行处理和分析，易导致通信延迟和用户隐私泄露等问题。针对上述问题，提出了一种基于雾计算面向停车服务的隐私保护方案，通过雾节点实现司机与停车位的匹配，使用基于椭圆曲线的签名技术实现身份认证；利用布隆过滤器和模糊提取器，在不公开用户隐私信息的情况下实现空闲停车位的查询；采用TA签名的电子钱包实现支付功能。此外，通过安全性分析和仿真可知，该方案不仅满足安全性和隐私性，而且计算成本较低。


Parking services provide drivers with the convenience of finding free parking spaces, but most existing parking solutions upload parking requests to cloud servers for processing and analysis, resulting in communication delays and user privacy leakage. In response to the above problems, a privacy protection scheme for parking services based on fog computing is proposed. The scheme realizes the matching of parking spaces between drivers and parking space owners through fog nodes, and uses the elliptic curve-based signature technology to achieve identity authentication. Bloom filters and fuzzy extractors are used to are used to query free parking spaces without exposing user private information. A signed electronic wallet is used to realize the payment function. In addition, security analysis and simulation show that this scheme not only satisfies security and privacy, but also has low computational cost.


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