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An overview of Fog computing and its security issues

Authors:

Ivan Stojmenovic,

Hao LuanAuthors Info & Claims

Concurrency and Computation: Practice & Experience, Volume 28, Issue 10

Pages 2991 - 3005

https://doi.org/10.1002/cpe.3485

Published: 01 July 2016 Publication History

Abstract

Fog computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage and application services to end users. In this article, we elaborate the motivation and advantages of Fog computing and analyse its applications in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined networks. We discuss the state of the art of Fog computing and similar work under the same umbrella. Distinguished from other reviewing work of Fog computing, this paper further discloses the security and privacy issues according to current Fog computing paradigm. As an example, we study a typical attack, man-in-the-middle attack, for the discussion of system security in Fog computing. We investigate the stealthy features of this attack by examining its CPU and memory consumption on Fog device. In addition, we discuss the authentication and authorization techniques that can be used in Fog computing. An example of authentication techniques is introduced to address the security scenario where the connection between Fog and Cloud is fragile. Copyright © 2015John Wiley & Sons, Ltd.

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Cited By

Premalatha BPrakasam P(2024)A Review on FoG Computing in 5G Wireless Technologies: Research Challenges, Issues and SolutionsWireless Personal Communications: An International Journal10.1007/s11277-024-11061-y134:4(2455-2484)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s11277-024-11061-y
Hashemi SSahafi ARahmani ABohlouli M(2024)A new approach for service activation management in fog computing using Cat Swarm Optimization algorithmComputing10.1007/s00607-024-01302-0106:11(3537-3572)Online publication date: 4-Jul-2024
https://dl.acm.org/doi/10.1007/s00607-024-01302-0
Li QWen ZWu ZHu SWang NLi YLiu XHe B(2023)A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2021.312459935:4(3347-3366)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1109/TKDE.2021.3124599
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Published In

cover image Concurrency and Computation: Practice & Experience

Concurrency and Computation: Practice & Experience Volume 28, Issue 10

July 2016

270 pages

ISSN:1532-0626

EISSN:1532-0634

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Publisher

John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 01 July 2016

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Cited By

Premalatha BPrakasam P(2024)A Review on FoG Computing in 5G Wireless Technologies: Research Challenges, Issues and SolutionsWireless Personal Communications: An International Journal10.1007/s11277-024-11061-y134:4(2455-2484)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s11277-024-11061-y
Hashemi SSahafi ARahmani ABohlouli M(2024)A new approach for service activation management in fog computing using Cat Swarm Optimization algorithmComputing10.1007/s00607-024-01302-0106:11(3537-3572)Online publication date: 4-Jul-2024
https://dl.acm.org/doi/10.1007/s00607-024-01302-0
Li QWen ZWu ZHu SWang NLi YLiu XHe B(2023)A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2021.312459935:4(3347-3366)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1109/TKDE.2021.3124599
Yang STan JLei TLinares-Barranco B(2023)Smart Traffic Navigation System for Fault-Tolerant Edge Computing of Internet of Vehicle in Intelligent Transportation GatewayIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.323223124:11(13011-13022)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TITS.2022.3232231
Matin ADia H(2023)Impacts of Connected and Automated Vehicles on Road Safety and Efficiency: A Systematic Literature ReviewIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.322717624:3(2705-2736)Online publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1109/TITS.2022.3227176
Qiao CQiu JTan ZMin GZomaya ATian Z(2023)Evaluation Mechanism for Decentralized Collaborative Pattern Learning in Heterogeneous Vehicular NetworksIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2022.318663024:11(13123-13132)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1109/TITS.2022.3186630
Tang LHe MXiong LXiong NLuo Q(2023)An efficient and privacy-preserving query scheme in intelligent transportation systemsInformation Sciences: an International Journal10.1016/j.ins.2023.119448647:COnline publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1016/j.ins.2023.119448
Jung SKim JMohaisen DKim J(2023)Truthful and performance-optimal computation outsourcing for aerial surveillance platforms via learning-based auctionComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2023.109651225:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.comnet.2023.109651
Ahammad I(2023)Fog Computing Complete Review: Concepts, Trends, Architectures, Technologies, Simulators, Security Issues, Applications, and Open Research FieldsSN Computer Science10.1007/s42979-023-02235-94:6Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1007/s42979-023-02235-9
Ma XLi YGao Y(2023)Decision model of intrusion response based on markov game in fog computing environmentWireless Networks10.1007/s11276-023-03382-w29:8(3383-3392)Online publication date: 13-Jun-2023
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