Always One/Zero Malicious User Detection in Cooperative Sensing Using the FCME Method

Johanna Vartiainen

7th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Always One/Zero Malicious User Detection in Cooperative Sensing Using the FCME Method

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.crowncom.2012.248180,
    author={Johanna Vartiainen},
    title={Always One/Zero Malicious User Detection in Cooperative Sensing Using the FCME Method},
    proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2012},
    month={7},
    keywords={outlier detection diagnostic methods malicious users},
    doi={10.4108/icst.crowncom.2012.248180}
}

Johanna Vartiainen
Year: 2012
Always One/Zero Malicious User Detection in Cooperative Sensing Using the FCME Method
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2012.248180

Johanna Vartiainen¹^,*

1: Centre for Wireless Communications

*Contact email: johanna.vartiainen@ee.oulu.fi

Abstract

In cognitive radio (CR) systems, cooperative sensing is advantageous when compared to single user detection. Cooperative sensing means that multiple CRs detect the spectrum holes collaboratively. The presence of malicious users (MU) can severely degrade the performance of cooperative CR system. In this paper, we are adopting a signal detection method called the forward consecutive mean excision (FCME) algorithm for ’always one/zero’ MU detection in cooperative sensing. Simulation results show that the FCME method is able to work even though 80% of the secondary users are ’always one’ MUs

Keywords: outlier detection diagnostic methods malicious users

Published: 2012-07-24
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.crowncom.2012.248180