Abstract

By providing a giant network of interconnected objects that can collaborate and interact in real-time, the Internet of Things (IoT) is regarded as an important step toward technical growth. Nonetheless, given the limitations in resources and the diverse nature of IoT devices, their fast proliferation has led to significant security challenges. The present investigation aims to examine AI-driven tactics in order to enhance the security of IoT devices with a specific focus on deep learning and machine learning techniques. This paper attempts to analyze the existing IoT security solutions comprehensively, address the role of AI in the mitigation and detection of threats, and present future research goals. The present paper aims to present an in-depth investigation and suggest a strategic pathway for using artificial intelligence to increase the security of IoT networks against newly emergent threats.

Keywords:Internet of things; IoT security; Artificial intelligence; Machine learning; Deep learning; Threat detection; Cybersecurity