Abstrakt

Helper node based effective spectrum sensing and defense against physical layer attack in cognitive radio network

Avila Jayapalan, Thenmozhi Karuppasamy

This work focusses on a new, efficient energy detection based spectrum sensing and in addition mitigating the threats of the physical layer of cognitive radio. The Fast Fourier Transform (FFT) of the energy detection method is concatenated with Gould transform. Concatenated approach along with proper choice of windows and its size resulted in improved probability of detection and improvement in signal to noise ratio. Many new classes of security, threats and challenges may be introduced in Cognitive Radio (CR) where attackers could destroy the fundamental function of cognitive radio network and may cause interference to primary users which is not desirable or may deny the licensed spectrum of Primary users (PU) to other secondary users by surpassing PUs in cognitive radio. This is called the Primary User Emulation (PUE) attack. This paper concentrates on dipping the primary user emulation attack by means of an authentication technique. This is achieved by embedding an authentication tag in the error control code, specifically turbo code. This tag is based on chaotic Pseudo Noise (PN) sequence algorithm and Katayapadi algorithm and the same has been implanted in Field Programmable Gate Array (FPGA)