Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues
复制标题
边缘计算范式中的数据安全和隐私保护：调查和未决问题
DOI：
10.1109/access.2018.2820162
复制
发表时间：
2018-01-01
期刊：
影响因子：
3.9
通讯作者：
Hu, Feng
中科院分区：
文献类型：
--
作者：
Zhang, Jiale;Chen, Bing;Hu, Feng
随着物联网设备的爆炸式增长和网络边缘产生的海量数据，传统的集中式云计算模式由于带宽的限制和资源的约束而陷入瓶颈。因此，能够在网络边缘存储和处理数据的边缘计算近年来成为一项有前景的技术。然而，边缘计算的独特特性，如内容感知、实时计算和并行处理，也在数据安全和隐私保护领域引入了一些新的挑战，这也是其他主流计算范式（如云计算、移动云计算和雾计算）的关键问题。尽管它很重要，但对于边缘计算领域的数据安全和隐私保护的最新研究进展，目前还缺乏调查。在本文中，我们对边缘计算中固有的数据安全和隐私威胁、保护技术和对策进行了全面分析。具体来说，我们首先概述了边缘计算，包括形成因素、定义、架构和几个基本应用。接下来，详细分析了边缘计算中的数据安全和隐私要求、挑战和机制。然后，总结了基于密码学的解决数据安全和隐私问题的技术。最新的数据安全和隐私解决方案在边缘相关的范例也进行了调查。最后，提出了边缘计算领域数据安全的几个开放研究方向。
With the explosive growth of Internet of Things devices and massive data produced at the edge of the network, the traditional centralized cloud computing model has come to a bottleneck due to the bandwidth limitation and resources constraint. Therefore, edge computing, which enables storing and processing data at the edge of the network, has emerged as a promising technology in recent years. However, the unique features of edge computing, such as content perception, real-time computing, and parallel processing, has also introduced several new challenges in the field of data security and privacy-preserving, which are also the key concerns of the other prevailing computing paradigms, such as cloud computing, mobile cloud computing, and fog computing. Despites its importance, there still lacks a survey on the recent research advance of data security and privacy-preserving in the field of edge computing. In this paper, we present a comprehensive analysis of the data security and privacy threats, protection technologies, and countermeasures inherent in edge computing. Specifically, we first make an overview of edge computing, including forming factors, definition, architecture, and several essential applications. Next, a detailed analysis of data security and privacy requirements, challenges, and mechanisms in edge computing are presented. Then, the cryptography-based technologies for solving data security and privacy issues are summarized. The state-of-the-art data security and privacy solutions in edge-related paradigms are also surveyed. Finally, we propose several open research directions of data security in the field of edge computing.