Mahadevappa, Poornima and Al-Amri, Redhwan and Alkawsi, Gamal and Alkahtani, Ammar Ahmed and Alghenaim, Mohammed Fahad and Alsamman, Mohammed (2024) Analysis of threats and attacks in edge data analytics within IoT environments. Internet of Things, 5 (1). pp. 123-154. ISSN 2624831X

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Abstract

Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can impact the data being processed. Thus, safeguarding sensitive data from being exposed to illegitimate users is crucial to avoiding uncertainties and maintaining the overall quality of the service offered. Most existing edge security models have considered attacks during data analysis as an afterthought. In this paper, an overview of edge data analytics in healthcare, traffic management, and smart city use cases is provided, including the possible attacks and their impacts on edge data analytics. Further, existing models are investigated to understand how these attacks are handled and research gaps are identified. Finally, research directions to enhance data analytics at the edge are presented.

Item Type:	Article
Uncontrolled Keywords:	edge computing; edge data analytics; security threats; security models; edge applications
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	School of Computing
Depositing User:	Mr. Izhar Hj. Hashim
Date Deposited:	10 Nov 2026 07:24
Last Modified:	10 Nov 2026 07:24
URI:	https://repo.uum.edu.my/id/eprint/34987

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