Cited by 659IoT and Edge/Fog ComputingInternet of Things and AIBlockchain Technology Applications and Security

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Securing Fog Computing for Internet of Things Applications: Challenges and Solutions

Ni, Jianbing, Zhang, Kuan, Lin, Xiaodong, Shen, Xuemin·2018·IEEE Communications Surveys & Tutorials

DOI 10.1109/comst.2017.2762345

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Abstract

Internet of Things (IoT) allows billions of physical objects to be connected to collect and exchange data for offering various applications, such as environmental monitoring, infrastructure management, and home automation. On the other hand, IoT has unsupported features (e.g., low latency, location awareness, and geographic distribution) that are critical for some IoT applications, including smart traffic lights, home energy management and augmented reality. To support these features, fog computing is integrated into IoT to extend computing, storage and networking resources to the network edge. Unfortunately, it is confronted with various security and privacy risks, which raise serious concerns towards users. In this survey, we review the architecture and features of fog computing and study critical roles of fog nodes, including real-time services, transient storage, data dissemination and decentralized computation. We also examine fog-assisted IoT applications based on different roles of fog nodes. Then, we present security and privacy threats towards IoT applications and discuss the security and privacy requirements in fog computing. Further, we demonstrate potential challenges to secure fog computing and review the state-of-the-art solutions used to address security and privacy issues in fog computing for IoT applications. Finally, by defining several open research issues, it is expected to draw more attention and efforts into this new architecture.

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Sorted by citations

A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures
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BackgroundMethodInfluential
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2019.02.009 · Cited by 1,368
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Background
Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
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“Fog computing offers the advantages of low latency and high computational capacity for IoT applications [17], [18].”
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Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research
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“Although security and privacy issues in fog computing [42]–[44], [49]–[52] are worthwhile to investigate, in our survey, we do not consider the security”
Background

See all 659

Authors: Ni, J., Zhang, K., Lin, X., & Shen, X.
Affiliations: University of Waterloo (CA)
University of Nebraska–Lincoln (US)
Wilfrid Laurier University (CA)
ORCID: Ni, Jianbing
Zhang, Kuan
Lin, Xiaodong
Shen, Xuemin
Venue: IEEE Communications Surveys & Tutorials
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2018
Volume: 20
Issue: 1
Pages: 601-628
ISSN: 1553-877X (ISSN-L)
2373-745X
DOI: 10.1109/comst.2017.2762345
OpenAlex: W2763925543
Cited by: 659
References: 211
Citations by year: 2026: 16 · 2025: 37 · 2024: 48 · 2023: 81 · 2022: 94 · 2021: 106 · 2020: 103 · 2019: 103 · 2018: 70
FWCI: 50.47
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: IEEE Communications Surveys & Tutorials (publishedVersion)
Funders: National Natural Science Foundation of China (61728102)
Topics: Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
Keywords: fog computing, Internet of Things, fog computing security, privacy, fog nodes, security threats, privacy requirements, edge computing, decentralized computing, data dissemination, real-time services, transient storage, open problems

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Securing Fog Computing for Internet of Things Applications: Challenges and Solutions

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