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

Electronic engineering

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