Enhancing IoT Protocol Security Through AI and ML: A Comprehensive Analysis

The proliferation of Internet of Things (IoT) devices has introduced numerous security challenges, driven by the widespread availability and rapidly increasing demand for smart devices and networks. Traditional security methods have struggled to keep pace with emerging threats, necessitating the developing of robust, continuously improved, and up-to-date security infrastructures. This paper investigates how Artificial Intelligence (AI) and Machine Learning (ML) techniques can enhance the security of IoT communication protocols. We explore current IoT routing protocols and analyze the potential of AI and ML in detecting attacks and identifying abnormal behaviours in smart devices and networks. Our research focuses on AI and ML-based security characteristics, as well as their application in improving IoT communication protocols.

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