Hybrid Intrusion Detection System for enhancing the security of a cluster-based Wireless Sensor Network

Recent advances in Wireless Sensor Networks (WSNs) make them more important to apply. Therefore, security issues are more significant in WSNs. WSNs are susceptible to some types of attacks since they are consisted of cheap and small devices and are deployed in open and unprotected environments. In this research, an Intrusion Detection System (IDS) created in cluster head is proposed. The proposed IDS is a Hybrid Intrusion Detection System (HIDS). It consists of anomaly and misuse detection module. The goal is to raise the detection rate and lower the false positive rate by the advantages of misuse detection and anomaly detection. However, a decision-making module is used to integrate the detect results and to report the types of attacks.