Fog computing security: A review of current applications and security solutions
Open accessAbstract
Fog computing is a new paradigm that extends the Cloud platform model by providing computing resources on the edges of a network. It can be described as a cloud-like platform having similar data, computation, storage and application services, but is fundamentally different in that it is decentralized. In addition, Fog systems are capable of processing large amounts of data locally, operate on-premise, are fully portable, and can be installed on heterogeneous hardware. These features make the Fog platform highly suitable for time and location-sensitive applications. For example, Internet of Things (IoT) devices are required to quickly process a large amount of data. This wide range of functionality driven applications intensifies many security issues regarding data, virtualization, segregation, network, malware and monitoring. This paper surveys existing literature on Fog computing applications to identify common security gaps. Similar technologies like Edge computing, Cloudlets and Micro-data centres have also been included to provide a holistic review process. The majority of Fog applications are motivated by the desire for functionality and end-user requirements, while the security aspects are often ignored or considered as an afterthought. This paper also determines the impact of those security issues and possible solutions, providing future security-relevant directions to those responsible for designing, developing, and maintaining Fog systems.
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Authentication and key management employed between fog servers and cloud servers enhance communication in an IoV environment.
“Moreover, when authentication and key management are employed between fog servers and cloud servers, they enhance communication in an IoV environment [97].”
From Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions (2024) · cites this paper as [97]
Cites
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Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT
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“A similar framework has been provided by [83] for IoT devices resource management in micro data-centres.”
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Security in Fog Computing through Encryption
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Security and privacy of smart cities: a survey, research issues and challenges
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Toward Secure and Trustworthy Vehicular Fog Computing: A Survey
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- Authors
- Khan, S., Parkinson, S., & Qin, Y.
- Affiliations
- University of Huddersfield (GB)
- Corresponding author
- Khan, Saad
- Venue
- Journal of Cloud Computing
- Published
- 2017-08-16
- Volume
- 6
- Issue
- 1
- ISSN
- 2192-113X (ISSN-L)
- OpenAlex
- W2747548784
- Cited by
- 409
- References
- 6
- Citations by year
- 2026: 12 · 2025: 26 · 2024: 41 · 2023: 54 · 2022: 61 · 2021: 66 · 2020: 62 · 2019: 57 · 2018: 29 · 2017: 1
- FWCI
- 27.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Journal of Cloud Computing Advances Systems and Applications (publishedVersion, cc-by)
- Huddersfield Research Portal (University of Huddersfield) (publishedVersion, cc-by)
- University of Huddersfield Repository (University of Huddersfield) (acceptedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Artificial Intelligence › Security and Verification in Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Keywords
- fog computing, fog computing security, edge computing, cloudlets, Internet of Things, security vulnerabilities, malware, network security, data security, virtualization security, security solutions
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