Investigating Spectrum Sensing Security Threats in Cognitive Radio Networks

Sekgoari Mapunya; Mthulisi Velempini

Ad Hoc Networks. 9th International Conference, AdHocNets 2017, Niagara Falls, ON, Canada, September 28–29, 2017, Proceedings

Research Article

Investigating Spectrum Sensing Security Threats in Cognitive Radio Networks

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@INPROCEEDINGS{10.1007/978-3-319-74439-1_6,
    author={Sekgoari Mapunya and Mthulisi Velempini},
    title={Investigating Spectrum Sensing Security Threats in Cognitive Radio Networks},
    proceedings={Ad Hoc Networks. 9th International Conference, AdHocNets 2017, Niagara Falls, ON, Canada, September 28--29, 2017, Proceedings},
    proceedings_a={ADHOCNETS},
    year={2018},
    month={2},
    keywords={Cognitive Radio Networks Cooperative neighbouring cognitive radio nodes Spectrum Sensing Data Falsification Pinokio},
    doi={10.1007/978-3-319-74439-1_6}
}

Sekgoari Mapunya
Mthulisi Velempini
Year: 2018
Investigating Spectrum Sensing Security Threats in Cognitive Radio Networks
ADHOCNETS
Springer
DOI: 10.1007/978-3-319-74439-1_6

Sekgoari Mapunya¹^,*, Mthulisi Velempini¹^,*

1: University of Limpopo

*Contact email: sekgoarimapunya@gmail.com, mthulisi.velempini@ul.ac.za

Abstract

Cognitive Radio Networks (CRN) technology was proposed as a solution to the challenges of overcrowding and underutilization of spectrum bands. CRN is a subset of wireless networks and as such, is susceptible to traditional wireless networks security attacks. In addition, it is also vulnerable to new security attacks such as cooperative sensing related attacks. CRN has an ability to dynamically adapt to the radio environment and thereafter make decisions to access spectrum holes opportunistically.

Keywords: Cognitive Radio Networks Cooperative neighbouring cognitive radio nodes Spectrum Sensing Data Falsification Pinokio

Published: 2018-02-01
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-74439-1_6