Machine Learning application for Smart Home Threat Detection using the HIKARI-2021 Data-set

Many industries are employing machine learning (ML)-powered systems to combat cyber threats, and ML has grown in importance as a tool in cybersecurity. In this research paper, we examine how sectors are using ML to improve cybersecurity, and the potential challenges and limitations of ML in this context. The study concludes by discussing the unresolved research questions and potential future avenues for enhancing the security of the Internet of Things (IoT), with a particular focus on the application of machine learning (ML) methods.