Blockchain based robust Cooperative spectrum sensing

Abstract

Cognitive Radio Network utilizes the spectrum resources intellectually. Spectrum sensing is the fundamental component of cognitive radio network. However, spectrum sensing is prone to many security attacks caused by malicious users. These attackers try to modify the sensed outcome to degrade the performance of the network. In our proposed model, inorder to identify and resist such malicious activities, Blockchain based technology is used in the fusion center for taking global decisions. The methodology of the proposed model consists of energy detection based Spectrum sensing and SHA-3 employed blockchain based malicious user detection. This detection process includes two phases : Block updation phase and iron out phase. The simulation results of the proposed method show 59% more detection probability at -18dB SNR compared to other conventional methods like equal gain combining (EGC) and Fault-tolerant cooperative spectrum sensing (FTCSS) and 35% more tracking probability when the number of malicious users is decreased. Thus the security of cognitive radio networks can be greatly improved using Blockchain technology.

Performance evaluation of hard‐decision and soft‐data aided cooperative spectrum sensing over Nakagami‐m fading channel

“…In particular, the hard‐decision rules which are being utilized for defining the expressions for cooperative false alarm, detection and miss‐detection probabilities with errors are expressed as [56]:…”