The DOI matches its Crossref record; 210 of the 211 references it cites were found in a registry or an index.
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
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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“Fog computing offers the advantages of low latency and high computational capacity for IoT applications [17], [18].”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [18]
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Metadata
- Authors
- Ni, J., Zhang, K., Lin, X., & Shen, X.
- Affiliations
- University of Waterloo (CA)
- University of Nebraska–Lincoln (US)
- Wilfrid Laurier University (CA)
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2018
- Volume
- 20
- Issue
- 1
- Pages
- 601-628
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- 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
- 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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