Cloud computing is now a popular computing paradigm that can provide end users access to configurable resources on any device, from anywhere, at any time. During the past years, cloud computing has been developed dramatically. However, with the development of the Internet of Things, the disadvantages (such as high latency) of cloud computing are gradually revealed due to the long distance between the cloud and end users. Fog computing is proposed to solve this problem by extending the cloud to the edge of the network. In particular, fog computing introduces an intermediate layer called fog that is designed to process the communication data between the cloud and end users. Hence, fog computing is usually considered as an extension of cloud computing. In this article, we discuss the design issues for data security and privacy in fog computing. Specially, we present the unique data security and privacy design challenges presented by the fog layer and highlight the reasons why the data protection techniques in cloud computing cannot be directly applied in fog computing.

中文翻译：

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雾计算中的数据安全和隐私


云计算现在是一种流行的计算范例，它可以让最终用户随时随地访问任何设备上的可配置资源。在过去的几年里，云计算得到了巨大的发展。然而，随着物联网的发展，由于云端与终端用户距离较远，云计算的缺点（如高延迟）逐渐显露出来。雾计算的提出就是为了解决这个问题，将云端延伸到网络边缘。特别是，雾计算引入了一个称为雾的中间层，旨在处理云和最终用户之间的通信数据。因此，雾计算通常被认为是云计算的延伸。在本文中，我们讨论雾计算中数据安全和隐私的设计问题。特别是，我们提出了雾层带来的独特的数据安全和隐私设计挑战，并强调了云计算中的数据保护技术不能直接应用于雾计算的原因。