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Sinkhole Attack Detection in Clustered-based Self-organizing Networks
Zhang Fangjiao 1 #,ZHAI Lidong 2 *
1.School of Computing, Beijing University of Posts and Telecommunications
2. Institute of Information Engineering, Chinese Academy of Science
*Correspondence author
#Submitted by
Subject:
Funding: none
Opened online:16 December 2013
Accepted by: none
Citation: Zhang Fangjiao,ZHAI Lidong.Sinkhole Attack Detection in Clustered-based Self-organizing Networks[OL]. [16 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4573922
 
 
Self-organizing networks has vast applied foreground in the future because of its low-cost, save-power, and easy implementation etc. But in such many applications, some of them place high demands on it. And safety becomes critical for wide application. Sinkhole attack is a common attack, which easily is combined with other attacks to cause more damage. In this paper, a method to detect the sinkhole attack is proposed. Two arguments are raised to help detect the nodes suffering from sinkhole attack, Credit Rating and Flow difference.
Keywords:sinkhole attack; detection; self-organizing networks; Cluster
 
 
 

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