An AI-supported Agent-based Security Model for the Internet of Things

This paper proposes an agent-based security model that facilitates the integration of AI-supported analysis capabilities into IoT security research efforts. We aim to contribute to more secure IoT systems by combining flexible mechanisms to generate reliable, high quality, and diverse IoT data with Artificial Intelligence. The novel security model permits designing solutions that better adapt to changes in the IoT environment and that target a broader range of threats and attacks to IoT systems. The model focuses on improving the performance of traditional security solutions for the IoT in a practical and scalable way.