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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2020

16.01.2020

Defense Against Spectrum Sensing Data Falsification Attacker in Cognitive Radio Networks

verfasst von: Kuldeep Yadav, Sanjay Dhar Roy, Sumit Kundu

Erschienen in: Wireless Personal Communications | Ausgabe 2/2020

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Abstract

Cognitive radio is an empowering innovation that guarantees to achieve spectrum utilization. To manage the muddled wireless condition, cooperative spectrum sensing (CSS) has been proposed to make use of the assorted variety in cognitive radio networks (CRNs). However, due to the simplicity of CRNs, CSS are vulnerable to security threats. Spectrum sensing data falsification (SSDF) attacker is one of the attackers in CSS. In the SSDF attack, malicious secondary users (MSUs) send false sensing decisions to the fusion center, which significantly degrades detection accuracy. In this paper, to identify MSUs, a modified delivery based scheme is proposed, where a minimum number of samples are considering for sensing. The proposed security scheme is shown to successfully alleviate the impact of MSUs on global decision making, which enhances the achievable throughput of an honest secondary user.
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Metadaten
Titel
Defense Against Spectrum Sensing Data Falsification Attacker in Cognitive Radio Networks
verfasst von
Kuldeep Yadav
Sanjay Dhar Roy
Sumit Kundu
Publikationsdatum
16.01.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07077-9

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