Detection of the primary user emulation (PUE) attacks utilizing various spectrum sensing techniques in cognitive radio networks

Abstract

CR Nets assumes a significant job in the communication sector and are often prone to different
types of attacks, thus reducing its overall performance. Spectrum sensing concepts could be used
to devise some strategies to reduce the attacks and make the system free of attacks. In view of this,
w.r.t. the Cognitive Radio Systems (CRS), sensing of spectrums thus, performs or plays a vital role
and allows the CRs to identify the licensed user signal existence on the specified frequency band.
The main functions of cognitive radio network rely upon the sensing approaches used for the
spectrums. The malicious user called Primary User Emulation Attacker (PUEA) can misguide this
sensing process, causing the degradation of the network. In this paper, we have proposed different
types of methodologies used in the sensing of spectrums & for detecting this type/s of attacks.
Spectrum management system is created along with the mathematical model of energy based
detections, matched filters & the cyclostationary detection methodologies. Simulations are
executed in the Matlab environment & the simulated results shows the profoundness of the
proposed methodology developed, which could be used for a host of communication applications.