Year: 2025
Type: conference-paper
Abstract: Within the Key management process in IoT networks, the key refresh step is essential and unavoidable to defend against node compromise attacks. Periodic key refresh ensures the self-healing capability of key management solutions. However, the main challenge is to strike a balance between energy efficiency and effective threat mitigation when determining when to trigger key updates. To address this trade-off, we propose a Reinforcement Learning (RL)-based approach that dynamically adjusts refresh intervals based on real-time energy consumption and attack severity. Our method initiates key updates only when necessary, enabling efficient self-healing. Experimental results across various scenarios demonstrate that our solution significantly improves energy efficiency while preserving self-healing property, highlighting its potential for adaptive key refresh in IoT environments.
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4414109794