Wireless Sensor Networks (WSNs) have gained tremendous popularity and importance in today’s world due to their simple technology and versatility of applications. Due to their wireless configurations, , they can be used in vast field of applications such as military, medical, building monitoring and control, automotive, traffic monitoring, industrial process control, open space surveillance, and many more. In wireless networks, communication happens through open air, so nodes are more vulnerable to attacks, and hence security becomes a major concern. Wireless Sensor Networks has many different applications, but at the same time they are also open to many security threats. Security Attacks like Black hole attack, wormhole, etc., Sybil Attack is one of these attacks, where a node illegitimately claims multiple identities and uses those identities in the network. These Sybil nodes obtains multiple fake identities, and pretends to be multiple, distinct nodes in the network. A Sybil node can disrupt the functioning and operation of network and may cause damage to the system if not detected. In this work analysis of the existing detection schemes of Sybil attack in wireless networks is done. Researchers have developed many schemes and methodologies for detecting and preventing Sybil attack, but these security mechanisms are not being used satisfactorily in real scenario for Wireless Sensor Networks. In the proposed work I have tried to give a method that could detect Sybil attack.
Mirali Khanderiya, Prof. Mital Panchal
Lightweight framework; multiple identities; RSSI; Sybil Attack; Wireless Sensor Networks (WSNs)
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|Published in :
||Volume 2 | Issue 3 | May-June - 2016
|Date of Publication
Cite This Article
Mirali Khanderiya, Prof. Mital Panchal, "A Novel Approach for Detection of Sybil Attack in Wireless Sensor Networks", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.113-117, May-June-2016.
URL : http://ijsrset.com/IJSRSET162358.php