Wang Lingling, Liu Guozhu, Sun Lijun
School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China.
Sensors (Basel). 2017 Mar 24;17(4):668. doi: 10.3390/s17040668.
Fog-based VANETs (Vehicular ad hoc networks) is a new paradigm of vehicular ad hoc networks with the advantages of both vehicular cloud and fog computing. Real-time navigation schemes based on fog-based VANETs can promote the scheme performance efficiently. In this paper, we propose a secure and privacy-preserving navigation scheme by using vehicular spatial crowdsourcing based on fog-based VANETs. Fog nodes are used to generate and release the crowdsourcing tasks, and cooperatively find the optimal route according to the real-time traffic information collected by vehicles in their coverage areas. Meanwhile, the vehicle performing the crowdsourcing task can get a reasonable reward. The querying vehicle can retrieve the navigation results from each fog node successively when entering its coverage area, and follow the optimal route to the next fog node until it reaches the desired destination. Our scheme fulfills the security and privacy requirements of authentication, confidentiality and conditional privacy preservation. Some cryptographic primitives, including the Elgamal encryption algorithm, AES, randomized anonymous credentials and group signatures, are adopted to achieve this goal. Finally, we analyze the security and the efficiency of the proposed scheme.
基于雾的车载自组网（Vehicular ad hoc networks，VANETs）是一种新型的车载自组网范式，兼具车载云与雾计算的优势。基于雾的车载自组网的实时导航方案能够有效提升方案性能。在本文中，我们基于雾的车载自组网提出一种利用车载空间众包的安全且隐私保护的导航方案。雾节点用于生成并发布众包任务，并根据其覆盖区域内车辆收集的实时交通信息协同找到最优路线。同时，执行众包任务的车辆能够获得合理报酬。查询车辆进入雾节点覆盖区域时可依次从每个雾节点检索导航结果，并沿着最优路线前往下一个雾节点，直至到达期望目的地。我们的方案满足认证、机密性和条件隐私保护等安全与隐私要求。采用了包括埃尔伽马尔加密算法、AES、随机匿名凭证和群组签名在内的一些密码原语来实现这一目标。最后，我们分析了所提方案的安全性和效率。
