Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues

By Jiale Zhang, Bing Chen, Yanchao Zhao, Xiang Cheng, Feng Hu. IEEE Access, 2018

404 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/a39d51234efc3606e4bb3a38485d2eefd5c65148

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Citations in the corpus

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “Attribute-based access schemes can be used to restrict access control in edge computing [197], [229].”
Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges (2020, methodology): “Zhang et al. [37] outlined the basic deﬁnition and architecture of edge computing; analyzed the data security and privacy requirements, challenges, and mechanisms in detail; summarized techniques based on cryptography for solving the data security and privacy issues; investigated the edge…”
Edge Computing with Artificial Intelligence: A Machine Learning Perspective (2022, background): “However, the computing power of the cloud is increasing linearly [21], which is much slower than the current rate of data growth.”
Edge-computing-driven Internet of Things: A Survey (2022, background): “As for the security of data, many solutions have been proposed in academia, such as de-patterning data transmissions [197], decentralization [197], and authorization [101].”
Blockchain for 5G and Beyond Networks: A State of the Art Survey (2019, background): “However, its security is a significant challenge [75], [76].”
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda (2021, background): “Due to the distinct distribution and heterogeneity characteristics, edge computing involves multiple trust domains that demand mutual authentication for all functional entities [488].”
Data Security and Privacy Protection for Cloud Storage: A Survey (2020, background): “The requirements of data security in cloud storage are mainly shown in the following aspects [8], [61], [93], [94], [108]: Data Conﬁdentiality: Data conﬁdentiality refers to prevent the active attack of unauthorized parties on users’ data, and ensure that the information received by the data…”
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things (2020, methodology): “[3], based on a four-tier edge computing”
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things (2020, methodology): “They also need to define the level of resource allocation [5].”