Paper Title
Intrusion System Based Node Replication Detection using Trusted Energy Optimization with Dynamic Hybrid Energy Efficient Distributed

Abstract
Hostile environments are frequently deployed with Wireless sensor networks (WSNs), in these environments, few sensor nodes are captured physically by an adversary. The significant credentials of all nodes are collected by these adversaries and the nodes are replicated subsequently, that exposes the network to numerous security threats and the whole network was comprised eventually. This attack is harmful and one or more nodes illegally claims replicas as an identity called node replication attack. The attack of node replication problem was intensified because of the AdHoc nature in WSN. Intrusion detection based on node replication attacks and for that here Trusted Energy Optimization with Dynamic Hybrid Energy Efficient Distributed (TEO_DHEED) is proposed in this paper. The trusted energy optimization model used for optimizing the energy consumption of the network and DHEED is used in optimizing the routing. An initial idea is proposed to apply a newly adapted statistical methodology that can detect node replication attacks with high performance as compared to existing techniques. A sufficient description of this methodology and a road-map is provided for testing and experiment its performance. From the results of experiments and analysis done by theoretical values proved that this algorithm produces increased time efficiency and detector’s quality, sensor node resources saving and the energy efficiency is 95%, throughput is 95%, Packet delivery ratio (PDR) is 95.5%, end-end delay is 61.5 % and 88% of network lifetime and it is an efficient algorithm for WSN intrusion detection. Keywords - WSNS, Node Replication Attack, TEO, DHEED, Throughput, PDR