Improved Trust Node Selection Technique to Defend Spectrum Sensing Data Falsification Attack in Cognitive Radio Network

Abstract

Cognitive Radio is the current trending wireless technology which aims to avoid spectrum scarcity. Due to its dynamic spectrum accessing support it imposes lot of security issues. Two vulnerabilities of CRN are behavioral and configurability vulnerabilities. These vulnerabilities cause effect in the cognitive behavior. So it is necessary to overcome those security issues. In this research, solution is offered to handle issue in CRN Spectrum Sensing Data Falsification (SSDF) attack. In SSDF attack, attackers will share results of the modified spectrum sensing to the Fusion Center (FC). Hence the FC will take some incorrect decisions. To mitigate SSDF attack, trust-based algorithm is used to analyze the behavior of each user. Based on the trust value, attackers can be easily identified from the network.