IEEE Standards and Deep Learning Techniques for Securing Internet of Things (IoT) Devices Against Cyber Attacks

Abstract

Introduction: The increased adoption of IoT devices in the range of 2019 up to 2024 affected several important industries, including healthcare, manufacturing, and smart cities in Japan. But this expansion makes these devices more susceptible to cyber risks, as is evident from the following points. Hacks into Japan’s security system have raised the debate on the IoT by demonstrating that more stringent measures are required to secure the technology development that continues to emerge. This paper aims to find out how safe IoT is in Japan and covers the period from 2019 to 2024; it deepens on the incorporation of IEEE Standards with Deep Learning techniques. A similar poll of industry specialists is taken in order to get views about changing trends in the security environment and their technological readiness besides AI.

Methodology: The present research employed a survey as well as a technical approach to the problem. In the present research, we consulted the IoT security experts and the key stakeholders in Japan with a view to assessing the situation and identifying the issues between 2019 and 2024. These are standards, including the IEEE 802.15.11 (for high-power wireless networks). The physical layer specifications for each of these sublayers are classified according to the following groups: 11 (for Wi-Fi networks) are reviewed. IDS of deep learning approaches such as CNN and LSTM are deployed. The case specifically scrutinized IoT network data arising from such fields as health and smart cities while emphasizing how these innovations confronted cyber risks in this period.

Conclusion: The study proves that the integration of IEEE standards and deep learning techniques has enhanced the IoT security in Japan from 2019 to 2024. The use of IEEE standards provided a solid basis for structuring devices’ interaction and safe conversation, while the deep learning models were efficient in identifying and preventing cyber threats, including DoS and malware attacks. The same survey brought to light a rising trend in the Japanese people’s concern and use of AI security solutions in these years. This study suggests policy changes that would bring the advanced security frameworks to greater utilization in the key sectors of the Japanese critical infrastructure industry to sustain security past the year 2024.