An Energy-Efficient Jamming Attacks Detection based on Cognitive Radio Networks

Abstract

5G wireless networks, primarily because of the device - to - device connections can enable huge networking. Dynamic bandwidth connectivity is a feature that enables device-to-device connections. Applications configured with cognitive radios must be authorized to reprocess the bandwidth consumed by cellular connections. The complex efficiency of the bandwidth allows cognitive consumers to switch between networks. In specific, switching contributes to energy efficiency, delay, and bandwidth connectivity. When the system is under the jamming attack, the computational cost much more. It is a major problem to fix jamming while ensuring an optimal level of operation. Thus, existing anti-jamming methods consider static users, this suggests preventive measures for wireless cognitive radio users in this paper and test them. The multivariate cumulative total was used in this study to classify suspicious activity like jamming attacks in Cognitive Radio Networks (CRN). Preventive-measures are being taken to resolve security risks to cognitive radio networks. The Intrusion Detection System (IDS) has been presented, including a way of preventing attacks on the cognitive radio network infrastructure.