Security and Privacy in Fog Computing: Challenges

By Mithun Mukherjee, Rakesh Matam, Lei Shu, Leandros A. Maglaras, Mohamed Amine Ferrag, Nikumani Choudhury, Vikas Kumar. IEEE Access, 2017

484 citations recorded by the source corpus.

Fog computing paradigm extends the storage, networking, and computing facilities of the cloud computing toward the edge of the networks while offloading the cloud data centers and reducing service latency to the end users. However, the characteristics of fog computing arise new security and privacy challenges. The existing security and privacy measurements for cloud computing cannot be directly applied to the fog computing due to its features, such as mobility, heterogeneity, and large-scale geo-distribution. This paper provides an overview of existing security and privacy concerns, particularly for the fog computing. Afterward, this survey highlights ongoing research effort, open challenges, and research trends in privacy and security issues for fog computing.

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

View Paper: https://www.semanticscholar.org/paper/2bc35eb6ad5b67a18f0831c8c8f53820864c80dd

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Citations in the corpus

UAV assistance paradigm: State-of-the-art in applications and challenges (2020, background): “Indeed, the transmission and the reception of messages are disturbed by an opponent transmitting with sufﬁciently high power on the frequency of the targeted technology [303], [304].”
Fog Computing and the Internet of Things: A Review (2018, background): “However, these measures are not suitable for fog computing due to its different characteristics, notably mobility, heterogeneity and large-scale geo-distribution [55,61].”
Integrated Blockchain and Edge Computing Systems: A Survey, Some Research Issues and Challenges (2019, background): “Nonetheless, its security is a signiﬁcant challenge [5], [30], [31].”
Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges (2019, background): “To study these security and related concerns in cloud and fog computing paradigm, the following factors become prominent: (1) Trust and privacy of end users (2) Internode source authentication and validation (3) Impenetrable communications among, sensors, compute and broker nodes (4) Identification ”
Blockchain Technologies for the Internet of Things: Research Issues and Challenges (2018, background): “Edge computing is a highly virtualized platform that enables computing and storage between end-users and data center of the traditional cloud computing [5].”
Blockchain for 5G and Beyond Networks: A State of the Art Survey (2019, background): “However, its security is a significant challenge [75], [76].”
A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things (2020, background): “) can access, control, modify, or share the data [1], [5], [11], [42].”
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, background): “In recent past, several studies [42]–[46] provide an overview of existing security and privacy concerns, particularly for fog computing.”
Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges (2020, background): “The fog computing layer provides several advantages, such as reduces the trafﬁc overhead and reinforcement of agriculture IoT data security [57].”