Securing IoT-Empowered Fog Computing Systems: Machine Learning Perspective

Tariq Ahamed Ahanger, Usman Tariq, Atef Ibrahim, Imdad Ullah, Yassine Bouteraa and Fayez Gebali
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Tariq Ahamed Ahanger: College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Usman Tariq: College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Atef Ibrahim: College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Imdad Ullah: College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Yassine Bouteraa: College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
Fayez Gebali: Electrical and Computer Engineering Department, University of Victroia, Victoria, BC V8P 5C2, Canada

Mathematics, 2022, vol. 10, issue 8, 1-20

Abstract: The Internet of Things (IoT) is an interconnected network of computing nodes that can send and receive data without human participation. Software and communication technology have advanced tremendously in the last couple of decades, resulting in a considerable increase in IoT devices. IoT gadgets have practically infiltrated every aspect of human well-being, ushering in a new era of intelligent devices. However, the rapid expansion has raised security concerns. Another challenge with the basic approach of processing IoT data on the cloud is scalability. A cloud-centric strategy results from network congestion, data bottlenecks, and longer response times to security threats. Fog computing addresses these difficulties by bringing computation to the network edge. The current research provides a comprehensive review of the IoT evolution, Fog computation, and artificial-intelligence-inspired machine learning (ML) strategies. It examines ML techniques for identifying anomalies and attacks, showcases IoT data growth solutions, and delves into Fog computing security concerns. Additionally, it covers future research objectives in the crucial field of IoT security.

Keywords: machine learning; security; Fog computing; Internet of Things (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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