Abstract

In an era where the fusion of digital and physical worlds is increasingly blurring the lines, the Internet of Things (IoT) emerges as a pivotal cornerstone, reshaping our interaction with technology and its impact on daily life. This rapidly evolving landscape, buoyed by an ever-expanding web of interconnected devices, brings forth unprecedented opportunities and challenges, particularly in the realm of risk and cybersecurity. The ubiquitous nature of IoT, spanning from the simplest household gadgets to complex industrial machinery, has made it a focal point in the discourse of modern technology. In this intricate tapestry of interconnected devices, each node not only communicates and collaborates, but also becomes a potential vector for security vulnerabilities. As these IoT ecosystems become more integrated into the fabric of society, their security and robustness are not just conveniences, but necessities. At this time, there are no widely accepted IoT security models. The aim of this paper is to establish a holistic framework that utilizes artificial intelligence coupled with risk management models to create a unique approach in handling risk in IoT ecosystems.

Keywords: Internet of things, Risk management framework, Artificial intelligence, Cybersecurity