A Comprehensive IoT Security Framework Empowered by Machine Learning

In the past few years, green computing has been widely accepted and implemented, especially in areas like social computing, mobile computing, AI-driven agent systems, and the Internet of Things (IoT). This work draws inspiration from these factors and seeks to delve into the constantly changing landscape of vulnerabilities associated with IoT devices. The paper presents an in-depth survey that thoroughly covers multiple features of the IoT domain. This paper specifically focuses on categorizing the attacks that exploit different vulnerabilities in IoT ecosystems. We delve into a classification system that clarifies the complex landscape of these attacks. After that, we shift our focus to techniques for assessing IoT vulnerabilities, offering valuable perspectives on how to evaluate and mitigate the related risks. The paper concludes by highlighting the emerging challenges in the IoT domain and its long-term viability, offering valuable insights for individuals to explore research opportunities in this dynamic and promising area.