Node Replication attack detection using Dydog in Clustered sensor network

Abstract

Wireless sensor network is an emerging area in which multiple sensor nodes are deployed to perform monitoring tasks. Sensor nodes are deployed in an open environment or infrastructure which can be easily affected by number of mischievous attacks such as wormhole attack, Sybil attack and node replication or duplication attack etc. security is the important consideration in wireless sensor environment. Node replication attack is one of the dangerous types of attack in which attacker may generate the replica or clone of existing node in the same network by extracting all the credentials. There may be case when the attacker replicates the whole cluster and attack the multiple nodes in one go. So, we use the Dydog detection method for defending against node replication attack. It is the intrusion detection process which is based on the monitoring nodes. The clustered network is taken into consideration in which clustering is done by underwater density based clustering sensor network (UWDBCSN) algorithm. The detection approach is integrated with sleep/wake scheduling algorithm to enhance the network performance. The parameters evaluated by simulating the clustered sensor environment in NS2 are packet delivery ratio, delay, network overhead, energy consumption and throughput.