Mitigating Intrusion and Vulnerabilities in Cognitive Radio Networks

Abstract

The deployment of Cognitive Radio Networks has been greatly hindered in spite of its potentials by the rate at which intrusions and vulnerabilities replicate within every domain of the network. Cognitive Radio Network is expected to drive the next generation wireless networks that can optimize the use of spectrum due to its unique and dynamic properties, but the high rate of intrusions has frustrated all the efforts of this promising network. Hence, there is need for a more investigation on better security measures to be employed in the network. Therefore, this paper proposes the design and implementation of an Intrusion Detection and Prevention Framework (IDPF) that monitors and analyses all inbound and outbound traffic in CRN in order to mitigate intrusions and vulnerabilities that increases on daily basis against CRN for a reliable and secured network. This will improve the rate of deployment of Cognitive Radio Networks.