Simulation of PUE Attack Detection using Transmitter Locations and Modulation Techniques in CRNs

Abstract

In this research article, we present the Matlab Simulation of PUE attack conceptual development
using mitigation techniques based transmitter locations with received signal strength (RSS),
feature detection (FD) & power estimation method (PEM) using Power Spectral Density (PSD).
We know that the growth in wireless communications has increased the demand for wireless
radio spectrum to utilize many social and individual benefits. Cognitive radio is a technology
that provides a possible solution for improving the spectrum efficiency by allowing opportunistic
access to the spectrum for unlicensed users (CRs). In this work, we mainly focus on Primary
User Emulation attack (PUEA) is one such major threat posed on spectrum sensing, which
decreases the spectrum access probability. In this work, we mainly focus on Primary User
Emulation attack (PUEA) & this is one such major threat posed on spectrum sensing, which
decreases the spectrum access probability. We had proposed the mitigation techniques based
transmitter location using received signal strength (RSS) and based on feature detection (FD),
which employs a cyclostationary calculation (CC) to represent the modulation features of the
user signals using a mathematical model, which was the subject of another paper.Principle of
operation of the detection of the primary signal & the malicious signal transmitter during the
spectrum sensing period along with the data flow diagram used for the simulation purposes for
the observation of the results is presented in this context. The .m code is developed as per the
proposed algorithms, the simulation is run for requisite amount of time and the simulation
results are observed such asthe graphs of SCF of AWGN noise signal ; SCF of the primary user
signal with FM modulation technique ; SCF of the primary user signal with FM modulation
technique at SNR ∞, 3 dB and –3dB ; SCF of the Malicious user signal with QPSK modulation
technique at SNR ∞, 3dB and –3 dB ; Probability of false alarm ; Probability of misdetection ;
Power estimation for both proposed Localization and PSD at PUE mitigation ; Probability of
false alarm and misdetection of both proposed Localization and PSD ; The localization errors
and computation time of the localization system are observed. The simulation results show that
the system performance of the power estimation method using PSD is better than the localization
detection method using RSS in the presence of PUEA, in the other words, the results portray the
effectiveness of the methodology proposed in this research paper.