BibTeX:

@article{IJIRSTV2I1085,
     title={A Study on Efficient Defense Mechanism against Sybil Attack in WSN},
     author={Anil and Yashpal Singh},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={1},
     pages={289--295},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I1085.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Sensor network consists of tiny sensors and actuators with general purpose computing elements to cooperatively monitor physical or environmental conditions, such as temperature, pressure, etc. Wireless Sensor Networks are uniquely characterized by properties like limited power they can harvest or store, dynamic network topology, large scale of deployment. Sensor networks have a huge application in field which includes habitat monitoring, object tracking, redetection, land slide detection and monitoring. As wireless sensor networks continue to grow, so does the need for effective security mechanisms. Because sensor networks may interact with sensitive data and/or operate in hostile unattended environments, it is imperative that these security concerns be addressed from the beginning of the system design. While there are many types of security attacks in WSNs, we have decided to focus our analysis on a particularly harmful one: the Sybil attack. A Sybil attack succeeds when a malicious node, called the Sybil node, illegitimately claims multiple false identities by either fabricating new identities or impersonating existing ones. The goal of a Sybil attack is to gain a disproportionate amount of influence over the network via its false identities. Now Sybil attack has caused too much threaten to wireless sensor network in routing, voting system, fair resource allocation, data aggregation and misbehavior detection. Hence many methods are being proposed to detect and prevent Sybil attack in wireless sensor network. A detailed study of these methods has been carried out and comparison table gives an overview of the method’s performance. Conclusions have been drawn using the comparison table. Parameters show how the method performs. Simulation work is performed on NS2 simulator. We have implemented the simple form of Sybil attack and an algorithm is proposed to detect Sybil attack. Performance evaluation is done using the packet delivery ratio, number of packets generated. The results shows that packet delivery ratio and number of packets generated for Sybil nodes are same in each scenario.

WSN, NS2 simulator, Sybil attack