A Channel State Information Based Secure Channel Allocation Mechanism for Wireless Networks

IoT networks 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. Due to continued sharing of resources, IoT networks often come under security attacks, most common of which are eavesdropping attacks. In the case of eavesdropping attacks, deliberately designed random eavesdropping data is added to the channel. These eavesdropping along with noise result in packet losses and low throughput, degrading the overall performance of the cognitive network. In this work, a security aware eavesdropping rejection mechanism is proposed which detects suspicious signals in the channel frequency response and employs discrete equalization to recover transmitted data. The proposed approach uses a CSMA-CD/EH protocol for possible adversarial eavesdropping attacks. The energy harvesting information is used to mitigate the possible attacks on the network at the gateway. The packet intercept ratio at the gateway is computed in the case of conventional CSMA-CD and the proposed system. The results show that the proposed system outperforms the exiting systems in terms of the performance metrics.