A Novel Graphical Security Model for Evolving Cyber Attacks in Internet of Things

Internet of Things (IoT) devices have become attack targets due to their weak security protections and could be maliciously exploited as bots controlled by attackers to launch further attacks (e.g., distributed denial of service attacks). In this work, we investigate infection behaviors of Mirai and its variants to explore malware spreading in IoT networks and propose a novel approach to model the spreading of malware via a graphical security model. We completed an initial analysis via an example of IoT network. Our results capture the spreading behavior of Mirai in the IoT network by showing different stages of an IoT node (i.e., healthy, infected and propagating).