Blockchain Based Spectrum Sensing for Secured Cognitive Radio wireless networks

Abstract

A blockchain based security improvement as well as spectrum sensing technique is proposed in this article for regulating the spectrum and identifying fraudulent users in the cognitive radio (CR) wireless networks. Spectrum sensing is a key need in the CR wireless networks, and it gets infected by the fraudulent user. The fraudulent user is disrupting the reliability of the system performance by targeting the network’s overall signal detection. The presence of a fraudulent user in CR wireless networks causes incorrect detecting data to be transmitted, lowering the system’s performance. The CR wireless network achieves blockchain based security and spectrum sensing, enhancing system performance. An energy detection technique is used to identify the fraudulent user in the CR wireless networks using the blockchain oriented approach. Performance measures such as probability of detection, and number of chosen sensing nodes are used to assess the suggested approach. Existing techniques like Tidal Trust and Friend or Foe Algorithm are compared with the suggested method.