Ganesh Davanam,T. Pavan Kumar,M. Sunil Kumar,



Trust,Reputation,Cross Layer attack,Cognitive Radio Networks,Multiple Nash Equilibrium,


Cognitive Radio Networks (CRNs) are new type of communication networks which solves the problems of spectrum utilization and channel assignments in an important manner. Cognitive users are two types i.e Primary and Secondary users. Secondary users use the unused spectrum which is not used by the primary user i.e unlicensed users uses the licensed bandwidth with their permission. Hence, Trust and Reputation management of secondary users has gained more attention. Mainly Reputation management models are required for CRNs to clearly identify whether the Secondary user is Malicious or trusted. If the secondary user is malicious he will attack the network at different layers and degrades the performance. In this paper, a method called Multiple Nash Reputation (MNR) method is proposed to secure the CRN at two different layers namely physical and network. First, trust is separately calculated for each CR user at two different layers, physical layer and network layer using trust parameters. After that the classification of malicious and normal user is made by applying the Multiple Nash Game Theory model. The performance of MNR method is evaluated based on Energy consumption and detection accuracy.


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