Investigating Spectrum Sensing Security Threats in Cognitive Radio Networks

Mapunya, Sekgoari Semaka; Velempini, Mthulisi

doi:10.1007/978-3-319-74439-1_6

Cited by 8 publications

(1 citation statement)

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“…Survey of various threats on security in cognitive radio networks can be found in [7]- [10]. An algorithm is proposed by Wang et al in [11]for the detection of spurious nodes in the network.…”

Section: Related Workmentioning

confidence: 99%

Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio Networks

Kumar¹,

Gupta²,

Tapwal³

2020

Preprint

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<div>Emerging of Cognitive Radio (CR) technology has</div><div>provided optimistic solution for the dearth of spectrum by</div><div>improving the spectrum utilization. The opportunistic use of the spectrum is enabled by spectrum sensing which is one of the key functionality of CR systems. To perform the interference free transmission in a cognitive radio networks, an important part for unlicensed user is to identify a licensed user with the help of spectrum sensing. Recently, the Cooperative Spectrum Sensing has been widely used in the literature where various scattered unlicensed users collaborate with each other to make the final sensing decision. This overcome the hidden terminal problem</div><div>and also improve the overall reliability of the decisions made</div><div>about the presence or absence of a licensed user. Each unlicensed user send the sensing results to the base station for final decision. However there exist some nodes which do not provide the correct sensing results to maximize their own profit which can highly degrade the CR network functionality. In this paper, a trust aware model is proposed for detection of misbehaving nodes such that their sensing reports can be filter out from the final result. The performance evaluation of the proposed scheme is done by checking its robustness and efficiency against various possible attacks. </div>

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Section: Related Workmentioning

confidence: 99%