Self B - Adaptive Key Generation for Primary Users in Cognitive Radio Networks for Less Prone Primary User Emulation Attacks

Abstract

Primary user attack is the major problem in the Cognitive Radio networks. Dynamic Spectrum sharing is the major advantage of Cognitive radio networks in which primary users (PU) are prioritize and authorized for using the spectrum than the Secondary users (SU). The problem arises when the Secondary users mimic the characteristics of the Primary users and use the spectrum without any deadline and make the primary users to queue for spectrum sharing. Hence the centralized system for the detection of primary attacks has been proposed. The algorithm follows the principle of Self B-Adaptive Keys for the Primary Users and keys are forwarded to the Intelligent Learning Center which can detect the different parameters ofthe primary users such as the RSSI, Power, Distance and Channel ID optimizes and compares with the thresholds which are already in the Intelligent learning centers. Hybrid PSO is used for the optimization of characterization of the primary users and Cognitive Rule Sets has been designed for the determination of the presence of the primary users among the different users in the network. The proposed scenario has been implemented in the ARM CPU as main test bench and MATLAB for the optimization and classification.