Malicious user detection in infra structure based cognitive radio networks (CRNs)

Abstract

The ultimate purpose of Cognitive Radios is to achieve best available channel using its special features re-configurability and cognitive capability. The most challenging task is to share spectrum along with licensed user devoid of causing harmful obstruction as per rules & regulations of FCC. Cognitive radio overcomes the shortage of spectrum by usage of unused or underutilized spectrum band which is termed as white space or spectrum hole. Cognitive Radios have become popular in recent few years due to its unique properties. But on the other hand security of CRNs also matters a lot. Many latest technologies has been invented in wireless network environment but the issue of security is still there because of open mode of communication. CRNs suffers all conventional security threats besides these some new security issues are also there due special characteristics (re-configurability and cognitive capability) of CRs. In this research work we have focused to propose a technique based on fuzzy logic for secure communication of CRNs. There are many existing security algorithms but proposed algorithms is more robust having less computational complexity. Main objective of our research is to propose an algorithm for detection of security attack in infra-structure based CRN, to identify the malicious node which is attacking and to improve overall performance of network by suppressing the malicious user.