CREDIT RISK VALUE BASED DETECTION OF MULTIPLE SELFISH NODE ATTACKS IN COGNITIVE RADIO NETWORKS

P.V.Niranchana, K. Anish Pon Yamni

Abstract: The scope of the Cognitive Radio technology is to solve the spectrum scarcity problem by allocating the spectrum dynamically to unlicensed users. In wireless ad-hoc networks, wireless device service degrades the network performance when spectrum is crowded. Licensed spectrum refers to the portions of the spectrum reserved by each country’s equivalent of the FCC for specific uses. This portion of the spectrum is further subdivided into frequency bands for military, television signals and commercial services. Designated users utilize the resource exclusively without interference. In Cognitive radio (CR), free spectrum bands that are not being used by the licensed users are used by the unlicensed secondary users. Unlicensed secondary users (SU) which transmits the fake information for its future use Is termed as selfish users. CR networks are vulnerable to selfish attacks, based on spectrum sharing, spectrum sensing and cognitive capability. SU broadcasts fake information to other neighbouring SUs inorder to occupy all (or) a part of the available channel. Selfish nodes highly degrade the network performance. In this paper, we have identified the multiple selfish node attacks using the credit risk information. We propose a method that uses CRV (Credit Risk Value) which helps to detect more than one selfish node. This improves the network performance of the network.

Keywords: Mobile ad hoc network, Selfish nodes, Cognitive radio, Secondary users, Primary users

DOI: https://doi.org/10.15623/ijret.2014.0319097