Citation

Anuar, Ahmad Aziem Khushairi and Zainuddin, Ahmad Anwar and Abdul Halim, Ahmad Adlan and Dek Rina, Dek Rina (2025) Addressing IoT Security Challenges through Advanced Machine Learning and Encryption. Journal of Informatics and Web Engineering, 4 (3). pp. 153-165. ISSN 2821-370X

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Abstract

The rapid growth of Internet of Things (IoT) devices, including smartwatches, home assistants, and connected appliances, has brought significant convenience to daily life, but it has also introduced serious security challenges. These devices often transmit sensitive data, making them vulnerable to theft, misuse, and unauthorized access. Current security measures are insufficient to address the complex and evolving nature of IoT systems, leaving many of them exposed to potential breaches and cyberattacks. This review explores recent developments in IoT security, focusing on how advanced technologies, such as machine learning, can be utilized to enhance the protection of IoT systems. The main objective of this paper is to examine potential solutions to the security problems that arise in IoT environments. It includes a thorough analysis of recent research and technological innovations in the field, with a particular emphasis on how different security methods are applied across IoT systems. By identifying the most common security vulnerabilities and outlining their impact on IoT networks, the review suggests improved methods to safeguard IoT data and ensure privacy. The findings aim to support researchers, developers, and businesses in designing more secure IoT solutions, and contribute to the establishment of stronger data protection policies. Ultimately, the review serves as a resource for those seeking to enhance the security of IoT devices and systems in an increasingly interconnected world.

Item Type:	Article
Uncontrolled Keywords:	Internet of things, smart devices, IoT security, machine Learning
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Depositing User:	Nor Afiqah Mohd Adnan
Date Deposited:	11 Nov 2025 01:18
Last Modified:	11 Nov 2025 01:18
URII:	http://shdl.mmu.edu.my/id/eprint/14846

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