Securing the Internet of Things: Systematic Insights into Architectures, Threats, and Defenses

Citation

Kim, Son Lim and Ooi, Shih Yin and Sayeed, Md. Shohel and Chew, Yee Jian and Ahmad, Nazrul Muhaimin (2025) Securing the Internet of Things: Systematic Insights into Architectures, Threats, and Defenses. Electronics (Switzerland), 14 (20). p. 3972. ISSN 2079-9292

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Abstract

The Internet of Things (IoT) is a transformative technology with significant potential across various applications. IoT enables everyday devices to become smarter, processes to become more intelligent, and communication to be more informative. As the fastest-growing field in Information Technology, IoT integrates objects into a virtual infrastructure that keeps us informed about their states. IoT devices include IT appliances such as PCs, mobile phones, laptops, smartwatches, and other wearable devices, which communicate through sensor-based embedded systems that transmit data. However, as the number of connected devices increases, so do the risks of connectivity and security breaches. These systems are often used in machine-to-machine communication, sharing vast amounts of data, which heightens the risk of intrusions. This survey systematically reviewed and analyzed 82 peer-reviewed studies published between 2010 and 2024, covering IoT security architecture, threats, and defense mechanisms. The review identifies key trends, common challenges, and security threats specific to IoT-based architecture across different domains. Additionally, it proposes solutions to enhance IoT security. The findings contribute to a deeper understanding of the current state of IoT security and offer insights into future research and the practical implementation of protective measures.

Item Type: Article
Uncontrolled Keywords: Internet of Things (IoT), IoT architect, IoT security threats, cloud, machine learning (ML)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Nurin Syazwani Azmi
Date Deposited: 10 Dec 2025 08:21
Last Modified: 13 Dec 2025 11:56
URII: http://shdl.mmu.edu.my/id/eprint/15051

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