An Authentication Based Approach for Prevention of Spectrum Sensing Data Falsification Attacks in Cognitive Radio Network

This is the era of Intelligent Cognitive Radio Network (CRN) technology that provides available spectrum with efficient utilization. (CR) must promise to allow interference-free access by users. The paper discusses several attacks and motives attacks. authentication mechanism role prevent for hassle-free utilization demonstrated. In this paper, resolving cognitive network security issues methods need discussed. addresses research challenges in way securing CRN countermeasures strategies. Spectrum sensing data falsification (SSDF) attack most disruptive which malicious users degrade decision-making process sending false reports fusion center’s thus preventing honest from utilizing spectrum. counter SSDF attack, trust-based demonstrated authenticate it observed proposed framework MATLAB environment able detect CR strategy applied make wireless communication. an intelligent as can learn its decisions easy adaptation operating parameters. initial step sense further steps are decision making, management, mobility. vulnerable various on policy protocols lead disturbing functionality technology. defence based public-key cryptography Primary User (PU) authenticated appending signature provided PU signal. Authentication a tag primary another perspective proposed. should provide integrity, confidentiality authenticity