Secured Soft Combination Schemes Against Malicious-Users in Cooperative Spectrum Sensing

A critical problem with Cooperative Spectrum Sensing in Cognitive Radio Network is the presence of Malicious Users (MUs) reporting false information to the Fusion Centre (FC) about the Primary User (PU) spectrum availability. This paper outline different techniques to mitigate the damaging effects o...

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Bibliographic Details
Published in:Wireless personal communications 2019-09, Vol.108 (1), p.389-408
Main Authors: Gul, Noor, Qureshi, Ijaz Mansoor, Naveed, Aqdas, Elahi, Atif, Rasool, Imtiaz
Format: Article
Language:English
Subjects:
Cognitive radio
Communications Engineering
Computer Communication Networks
Detection
Engineering
Networks
Signal,Image and Speech Processing
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Summary:A critical problem with Cooperative Spectrum Sensing in Cognitive Radio Network is the presence of Malicious Users (MUs) reporting false information to the Fusion Centre (FC) about the Primary User (PU) spectrum availability. This paper outline different techniques to mitigate the damaging effects of the false sensing in Soft Decision Fusion (SDF) schemes using One-to-Many Sensing-Distances and Z-Score. FC employs these schemes to separate the sensing information received from MUs and Secondary Users and feed the results to the Hampel’s test for MUs detection. After segregating all potential MUs FC takes a final decision about the availability of PU spectrum using the proposed SDF schemes. The suggested scheme is tested in an environment of opposite, random opposite, always yes and always no types of MUs. Simulation results demonstrate the superiority of the proposed scheme, which surpass the existing SDF schemes in reliability, precision and efficiency.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-019-06408-9