Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm

In cognitive radio network (CRN), secondary users (SUs) try to sense and utilize the vacant spectrum of the legitimate primary user (PU) in an efficient manner. The process of cooperation among SUs makes the sensing more authentic with minimum disturbance to the PU in achieving maximum utilization o...

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Bibliographic Details
Published in:International journal of antennas and propagation 2018-01, Vol.2018 (2018), p.1-11
Main Authors: Rasool, Imtiaz, Elahi, Atif, Qureshi, Ijaz Mansoor, Gul, Noor
Format: Article
Language:English
Subjects:
Cognitive radio
Computer engineering
Computer simulation
Detection
Electrical engineering
Energy
False alarms
Fitness
Genetic algorithms
Information systems
International conferences
Noise
Radio networks
Reputations
Sensors
Signal processing
Wireless communications
Wireless networks
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Summary:In cognitive radio network (CRN), secondary users (SUs) try to sense and utilize the vacant spectrum of the legitimate primary user (PU) in an efficient manner. The process of cooperation among SUs makes the sensing more authentic with minimum disturbance to the PU in achieving maximum utilization of the vacant spectrum. One problem in cooperative spectrum sensing (CSS) is the occurrence of malicious users (MUs) sending false data to the fusion center (FC). In this paper, the FC takes a global decision based on the hard binary decisions received from all SUs. Genetic algorithm (GA) using one-to-many neighbor distance along with z-score as a fitness function is used for the identification of accurate sensing information in the presence of MUs. The proposed scheme is able to avoid the effect of MUs in CSS without identification of MUs. Four types of abnormal SUs, opposite malicious user (OMU), random opposite malicious user (ROMU), always yes malicious user (AYMU), and always no malicious user (ANMU), are discussed in this paper. Simulation results show that the proposed hard fusion scheme has surpassed the existing hard fusion scheme, equal gain combination (EGC), and maximum gain combination (MGC) schemes by employing GA.
ISSN:1687-5869
1687-5877
DOI:10.1155/2018/2346317