A Secure and Privacy-Preserving Navigation Scheme Using Spatial Crowdsourcing in Fog-Based VANETs.
A Secure and Privacy-Preserving Navigation Scheme Using Spatial Crowdsourcing in Fog-Based VANETs.
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DOI：
10.3390/s17040668
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发表时间：
2017-03-24
期刊：
影响因子：
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通讯作者：
Sun L
中科院分区：
文献类型：
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作者：
Wang L;Liu G;Sun L
基于雾的车辆自组织网络（VANETs）是一种新型的车辆自组织网络，具有车辆云和雾计算的优点。基于雾天vanet的实时导航方案可以有效地提高方案的性能。在本文中，我们提出了一种基于基于雾的VANETs的车辆空间众包导航方案。雾节点用于生成和释放众包任务，并根据车辆在其覆盖区域内采集的实时交通信息协同寻找最优路线。同时，执行众包任务的车辆可以获得合理的奖励。查询车辆在进入其覆盖区域时，可以依次检索每个雾节点的导航结果，并沿着最优路线到达下一个雾节点，直到到达期望的目的地。该方案满足了认证、保密和条件保密的安全和隐私要求。为了实现这一目标，采用了一些加密原语，包括Elgamal加密算法、AES、随机匿名凭证和组签名。最后，对所提出方案的安全性和效率进行了分析。
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.