A Security Aware Channel Assignment Protocol for Software Defined Networks

Abstract

Software Defined Networks (SDNs) have a great potential in supporting time-critical data delivery among the Internet of Things (IoT) devices and for emerging applications such as smart cities and automation. A wireless channel (radio) about which we have information is called a software defined radio. However, Software defined radio Networks share common resources such as bandwidth or spectrum among several users or stations. Due to continued sharing of resources, cognitive networks often come under security attacks, most common of which are jamming attacks. In the case of jamming attacks, deliberately designed random jamming signals are added to the channel. These jamming signals along with noise result in packet losses and low throughput, degrading the overall performance of the cognitive network. In this work, a security aware jamming rejection mechanism is proposed which detects suspicious signals in the channel frequency response and employs discrete equalization to recover transmitted data. Moreover, this also reduces the effects of noise in the channel. It has been shown that the proposed system achieves higher throughput compared to previous techniques for low, moderate and high jamming activity. Keywords:- Software defined radio, Internet of Things (IoT), Jamming Activity, Energy Detection, Equalization, Throughput.