%0 Journal Article
%T Efficient Selfish Attack Detection in Cognitive Radio Network
%A Shailaja C. Patil
%A Amrita Janardhanan
%J Wireless Engineering and Technology
%P 105-117
%@ 2152-2308
%D 2016
%I Scientific Research Publishing
%R 10.4236/wet.2016.74011
%X <p class=\"MsoNormal\" style=\"text-align:justify;\">
	<span lang=\"EN-US\"><span style=\"font-family:Verdana;\">The main
intention of developing cognitive radio technology is to solve the spectrum
deficiency problem by allocating the spectrum dynamically to the unlicensed
clients. An important aim of any wireless network is to secure communication.
It is to help the unlicensed clients to utilize the maximum available licensed
bandwidth, and the cognitive network is designed for opportunistic
communication technology. Selfish attacks cause serious security problem
because they significantly deteriorate the performance of a cognitive network.
In this paper, the selfish attacks have been identified using cooperative neighboring
cognitive radio ad hoc network (COOPON). A novel technique has been proposed as
ICOOPON (improvised COOPON), which shows improved performance in selfish attack
detection as compared to existing technique. A comparative study has been
presented to find the efficiency of proposed technique. The parameters used are
throughput, packet delivery ratio and end to end delay.</span></span>
</p>
%K Cognitive Radio Network
%K ICOOPON
%K COOPON
%K Selfish Attack
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=71403