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Article Type

Article

Abstract

Internet of Things technologies experience rapid advancement because of 5G networks and upcoming 6G technologies, which resulted in transformational changes to security dynamics. This study examines the functionality of artificial intelligence through platforms developed to secure Internet of Things systems. The demand for improved security capabilities has become essential because IoT devices generate new assault channels, and their market penetration speed is escalating. Machine learning algorithms, together with deep learning and natural language processing methods, are investigated in this paper for enhancing the security protocols of IoT systems through studies found in academic literature. The paper explores upcoming developments and risk-related obstacles to design a detailed strategy regarding how AI implements cybersecurity risk reduction for IoT systems. The analysis focuses on the security implications of 5G/6G technology because it both expands weaknesses in systems and offers protection benefits through enhanced data processing and improved networking features. The research provides essential data to researchers and practitioners developing resilient AI-security solutions that meet the requirements of next-generation communication systems’ dynamic environment.

Keywords

AI, Cybersecurity, DDoS, IoT network, 5G and 6G Technologies

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