To Expand Network Lifetime by Intrusion Method for IoT based WSN

The Internet of Things (IoT) based Wireless Sensor Network (WSN) play an important role in observing the physical and environmental parameters in various applications. Due to limited sensing nodes and batteries, the lifetime of the WSN becomes a primary consideration. Intrusion is frequently used in WSN as one of the security measures which not only can enhance the security but also can improve the network lifetime. Different intrusion detection techniques are proposed based on structure of network such as sensor resources, connectivity, sensing range, etc. This paper explores an efficient intrusion detection approach which can extend the WSN network lifetime by efficiently managing the network resources and thus provides a secure way for the WSN. The intrusion detection techniques used are divided into two parts; preventive and detection techniques. In the proposed method, both techniques are used in order to provide enhanced protection against the intrusions. The preventive approach is based on the monitoring of resources and detecting the anomaly behavior. The detection approach is based on the clustering and authentication techniques. The proposed method is tested in various IoT applications and the results indicate that the proposed method improves the network lifetime and provides enhanced security.