A hybrid IDS for detection and mitigation of sinkhole attack in 6LoWPAN networks

The Internet of Things (IoT) is an expanding field of computer networks where resource-constrained devices connect to the internet through various wireless technologies. IoT systems already cover a broad spectrum, including smart homes, smart hospital systems, and hazard detection systems, with their influence expected to grow in the coming years. However, IoT systems are not without their drawbacks, as security breaches and device malfunctions can lead to severe disruptions in the ecosystem. In this article, we introduce an edge-assisted hybrid intrusion detection system designed to detect and mitigate Sinkhole Attacks (SHAs) within the IoT ecosystem. The unique aspect of our proposed approach is its deployment on edge devices, enabling it to identify SHAs as close as possible to the relevant data sources. Furthermore, we provide a comparative analysis based on simulation results and real-world testbed experiments to support our proposed methodology. Our findings demonstrate considerable improvements in scalability, accuracy, precision, recall, F1 score, packet delivery ratio, per-node power consumption, overall IoT network energy consumption, and end-to-end delay.