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AuthorPourgharehkhan, Zahra
AuthorTaherpour, Abbas
AuthorKhattab, Tamer
Available date2021-06-07T09:59:11Z
Publication Date2016
Publication NameCanadian Conference on Electrical and Computer Engineering
ResourceScopus
URIhttp://dx.doi.org/10.1109/CCECE.2016.7726676
URIhttp://hdl.handle.net/10576/20498
AbstractIn this paper, collaborative spectrum sensing to detect random signals corrupted by Gaussian noise in the presence of smart attackers is studied. Unlike to the most of related works, we consider a blind attacker detection so that there is no information about the number of attackers and attack strengths. Also, in our proposed scheme, no information about the Primary User (PU) signal and noise is considered to detect the misbehaved Secondary Users (SUs). In addition, the attack strengths can be chosen differently for each attacker. It is proposed to get assistance from some trusted SUs. We obtain a blind detector and then, a detection algorithm using derived detector to detect the attackers is proposed. Furthermore, in order to evaluate the performance of the proposed detector, the closed form expressions for detection and false alarm probabilities are computed analytically. The provided closed-form analytical results in addition to simulation results show that the proposed detector outperforms significantly the similar secure spectrum sensing schemes.
SponsorThis research work is funded by Qatar National Research Fund (A member of Qatar Foundation) under grant number NPRP 7-923-2-344. The statements made herein are the sole responsibility of the authors
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectGaussian noise (electronic)
Analytical results
Closed-form expression
Collaborative spectrum sensing
Detection algorithm
False alarm probability
Random signal
Secondary users
Spectrum sensing
Signal detection
TitleSecure robust collaborative spectrum sensing in the presence of smart attackers
TypeConference Paper
Volume Number2016-October
dc.accessType Abstract Only


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