An Efficient and Secure Malicious Node Detection Model for Wireless Sensor Networks

Abstract

In wireless sensor networks (WSNs), there are many factors, such as the reciprocal interference of wireless links, battlefield applications and nodes are exposed to poor physical protection medium. All of these result in the sensor nodes being more exposed to be attacked and compromised. Since sensors are normally energy limited in WSNs, it is constantly basic to conserve the node energy and expand the lifetime of the network. Besides, hierarchical clustering is deemed as one of the numerous ways to deal with the reduction of energy consumption of nodes and increasing the network lifetime in WSNs. This paper conspicuously introduces an efficient and secure malicious node detection model based on a hybrid clustering network for WSNs (ESMCH) which is based on a trusted mobile node. WSNs are still suffering from some attacks like Man-in-the-Middle Attack and Black hole Attack, so by using the ESMCH model, we can avoid these attacks. Finally, simulation results also indicate that the proposed model can increase the network lifetime, and achieve an efficient and secure clustering network.