Cognitive radio (CR) is a significant communication technology in which the unlicensed users use the maximum available bandwidth. When the spectrum is not used by the licensed primary user, the obtainable channels are allocated for the unlicensed secondary users (SUs). But the problem is that some of the secondary users act selfishly to occupy all the channels. Hence, in order to overcome this problem, a selfish attack detection technique called COOPON (Cooperative neighboring cognitive radio Nodes) is in use where the secondary user frequently broadcasts the multiple channel allocation information to all its neighboring secondary users. If the selfish secondary user sends a larger number of channels than the available channels, this method detects the attacks by the cooperation of other legitimate neighboring secondary users. But the drawback of this method is that it is capable of detecting only one selfish node. To conquer this trouble and to detect selfish users effectively an innovative technique called distributed reaction mechanism is proposed in this paper which detects multiple selfish attacks and improves the detection rate by considering the parameters like traffic flow, signal strength and primary user access time.. Experimental results show that high accuracy and efficient detection performance in cognitive radio networks are achieved compared to the existing system.
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