On recognizing ID based attacks using environs and beam forming approach for wireless sensor networks

Abstract

Sensor networks are a promising innovative technology to enable economically viable solutions to a variety of applications, for example pollution sensing, structural integrity monitoring, and traffic monitoring. A large subset of sensor network applications requires security, especially if the sensor network protects or monitors critical infrastructures. Unfortunately, the simplicity and low-cost of the sensors eases cloning and create a sibling of compromised nodes by attackers. These ID based assaults are the entry point to a large span of insidious attacks. In such circumstances, an adversary uses the credentials of a compromised node to surreptitiously introduce anomalies into the network. These infected nodes are then used to launch a variety of attacks that subvert the goal of the sensor application, and the operation of the underlying protocols. The detection of such attacks in a wireless sensor network is therefore a fundamental problem. Intension of this work is insinuate a new environs based beamforming approach (ESMS) to detect both clone and Sybil attack with the same strategy.