HT-IDS:A Hybrid Trust Based Intrusion Detection System for Wireless Sensor Networks

Wireless sensor networks (WSN) are a continuously developing area of research with numerous applications. Despite their benefits, these networks present several challenges, including security problems. The trust factor is an effective strategy for securing the network against internal attacks and misbehaviour nodes. While several intrusion detection systems (IDSs) have been proposed, most of them consider either trust technique or anomaly detection technique. In this research, we suggested a hybrid intrusion detection system that takes anomaly detection techniques and trust factors into account. First, we proposed several criteria to model nodes' behaviours using multiple trust features. Then, we used the Support Vector Machine (SVM) algorithm to classify their behaviour in the network. Our simulation results demonstrate that our approach can effectively detect malicious nodes in the network.