A Survey on Detection of Sybil Attack in Wireless Sensor Network

Authors(2) :-Mirali Khanderiya, Mital Panchal

As in wireless networks, communication happens through open air, nodes are more vulnerable to attacks and hence security becomes a major concern. Wireless Sensor Networks (WSNs) has many different applications in today’s world, but at the same time it is also open to many security threats. 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. This paper analysis the existing detection schemes of Sybil attack in wireless networks, and the analysis and conclusion would be helpful in for obtaining a method that could detect Sybil attack overcoming all the existing scheme’s limitations.

Authors and Affiliations

Mirali Khanderiya
Department of Information Technology, L. D. Engineering College, Ahmedabad, Gujarat, India
Mital Panchal
Department of Information Technology, L. D. Engineering College, Ahmedabad, Gujarat, India

Lightweight framework; multiple identities; RSSI; Sybil Attack; Wireless Sensor Networks (WSNs)

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Publication Details

Published in : Volume 1 | Issue 6 | November-December 2015
Date of Publication : 2015-12-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 68-71
Manuscript Number : IJSRSET151598
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Mirali Khanderiya, Mital Panchal, " A Survey on Detection of Sybil Attack in Wireless Sensor Network, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 6, pp.68-71, November-December-2015.
Journal URL : http://ijsrset.com/IJSRSET151598

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