Mitigating Jamming Attacks in IoT RF-Devices through Dynamic Channel Hopping: A Novel Petri-nets Formulation

This paper introduces a new modeling leveraging Generalized Stochastic Petri Nets (GSPN) to study smart devices behaviour within the Internet of Things (IoT). These devices are equipped with energy harvesting systems that utilize radio frequency (RF) signals for remote battery recharging. Nonetheless, RF-based energy sources are vulnerable to disruptive jamming attacks that can severely impact device functionality. To tackle this challenge, our study offers a modeling solution that integrates channel hopping strategy, aiming to strike a balance between energy consumption and responsiveness of services. Through comprehensive analysis, the proposed approach helps to identify optimal configuration parameters for practical implementation, enhancing the resilience of these devices against jamming attacks.