Combining the Concept of Abstraction, RAWL and Network Division to Detect Clone Node in Distributed WSN

Abstract

Wireless Sensor Networks (WSNs) are defenseless to clone assaults as they are conveyed in threatening and unattended environments. Likewise because of the absence of physical alter obstruction, an enemy can without much of a stretch catch and bargain sensor hubs and in the wake of imitating them, he embeds subjective number of clones into arrange. Thus the foe is capable to mount a wide assortment of interior assaults. A few arrangements have been proposed in the writing for the identification of these clones from which witness hub based circulated arrangements have indicated tasteful outcomes. Irregular Walk (RAWL) is one of the witness hub based circulated systems in which witness hubs are haphazardly chosen by starting a few irregular strolls all through the system. In spite of the fact that RAWL has accomplished high security of witness hubs however in achieving high recognition likelihood RAWL experiences high correspondence and memory overhead. In this paper I have taken three concepts abstraction which says that user cannot access any internal programming or cannot even order the node to do perform any task whereas user is allowed to select from a series of task only which will be predefined. In this case user will be node itself. Random Walk (RAWL) is one of the witness node based distributed techniques in which witness nodes are randomly selected by initiating several random walks throughout the network. Although RAWL has achieved high security of witness nodes but is not perfect. We use network division technique to divide the entire network is divided into different areas.