Two Step Verification technique For Detection of Malicious Nodes in Wireless Sensor Networks

The wireless sensor network is the application oriented network which performs task of monitoring and object tracking. The wireless sensor node has the architecture which involves wireless interface for the communication. The design of the wireless sensor network depends upon the significant of application, cost and type of hardware. The architecture of WSN is dynamic due to which security and energy consumption are the major constraints. The Sybil attack is the attack which is possible in wireless sensor networks and it affect network performance. The attacker node generates multiple identities to attract network traffic and leads to denial of service in the network. In this research work, two step verification technique is proposed for the detection of malicious nodes from the network. In the two step verification technique, the cluster heads detect the node as untrusted if its energy consumption is abnormal. The extra observer nodes are deployed in the network, which observe network traffic. On the basis of network traffic observations, the node is declared as trusted or untrusted. When the cluster head and observer node both declare on node as untrusted node, then that sensor node will be considered as malicious node. The experiment is conducted is NS2 by considering certain simulation parameters. It is analyzed that two step verification technique detect malicious nodes successfully and it also leads to improve network performance in terms of Delay, PDR and Packetloss.