Towards an Analysis of the Architecture, Security, and Privacy Issues in Vehicular Fog Computing

Towards an Analysis of the Architecture, Security, and Privacy Issues in Vehicular Fog Computing
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DOI:
10.1109/southeastcon42311.2019.9020476
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发表时间:
2019-04
期刊:
2019 SoutheastCon
影响因子:
--
通讯作者:
Mohammad Aminul Hoque;Ragib Hasan
Mohammad Aminul Hoque;Ragib Hasan
中科院分区:
其他
文献类型:
--
作者:
Mohammad Aminul Hoque;Ragib Hasan

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车载雾是一种相对较新的计算范式,其中雾计算与车载网络一起工作。它为附近的车辆提供计算、存储和位置感知服务,且延迟较低。通过添加附近停放或移动的车辆的未充分利用或未使用的资源,可以在飞行中形成车辆雾网络。感兴趣的车辆可以通过添加到车辆雾网络来外包其资源或数据,同时保持适当的安全性和隐私性。客户端车辆可以使用这些资源或服务来执行计算密集型任务、存储数据或通过适当的安全和隐私保护通信渠道获取众包报告。由于大多数车辆网络应用对延迟和位置敏感,雾比云更适合,因为它能够以低延迟执行计算,位置感知和支持移动性。由于车雾的研究尚处于起步阶段,其体系结构、安全性和隐私模型还没有得到很好的定义和广泛的认可。在本文中,我们已经分析了现有的研究车辆雾,以确定的要求和问题的架构,安全性和隐私的车辆雾计算。我们还确定并强调了这一有前途的领域的开放研究问题。
The vehicular fog is a relatively new computing paradigm where fog computing works with the vehicular network. It provides computation, storage, and location-aware services with low latency to the vehicles in close proximity. A vehicular fog network can be formed on-the-fly by adding underutilized or unused resources of nearby parked or moving vehicles. Interested vehicles can outsource their resources or data by being added to the vehicular fog network while maintaining proper security and privacy. Client vehicles can use these resources or services for performing computation-intensive tasks, storing data, or getting crowd-source reports through the proper secure and privacy-preserving communication channel. As most vehicular network applications are latency and location sensitive, fog is more suitable than the cloud because of the capability of performing calculations with low latency, location awareness, and the support of mobility. Architecture, security, and privacy models of vehicular fog are not well defined and widely accepted yet as it is in its early stage. In this paper, we have analyzed existing studies on vehicular fog to determine the requirements and issues related to the architecture, security, and privacy of vehicular fog computing. We have also identified and highlighted the open research problems in this promising area.