Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm
Joint Authors
Qureshi, Ijaz Mansoor
Gul, Noor
Elahi, Atif
Rasool, Imtiaz
Source
International Journal of Antennas and Propagation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gul, Noor& Qureshi, Ijaz Mansoor& Elahi, Atif& Rasool, Imtiaz. 2018. Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm. International Journal of Antennas and Propagation،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1168325
Modern Language Association (MLA)
Gul, Noor…[et al.]. Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm. International Journal of Antennas and Propagation No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1168325
American Medical Association (AMA)
Gul, Noor& Qureshi, Ijaz Mansoor& Elahi, Atif& Rasool, Imtiaz. Defense against Malicious Users in Cooperative Spectrum Sensing Using Genetic Algorithm. International Journal of Antennas and Propagation. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1168325
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168325