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- W2921176247 abstract "In this paper, a new model for a smart primary user emulation attacker is proposed and spectrum sensing in the presence of such an attacker, is studied. Markov chain is used to model the primary user and smart attacker activities, simultaneously. Then, we derive closed form expressions for the average probability of detection and false alarm and from there, the effect of the primary user and attacker traffic on a secondary user’s throughput is investigated. In addition, launching attacker in the conventional and proposed smart attacking procedures are compared. The numerical results show in the smart attacking, the deterioration in throughput of the secondary user’s network is considerable and under proper selection of the attacker’s traffic parameters, it may tend toward zero. To combat the harmful impact of smart attacker, we derive a test rule based on the generalized likelihood ratio test to detect the legitimate from smart illegitimate user. Finally, the accuracy of the obtained results are analyzed and verified by simulation results." @default.
- W2921176247 created "2019-03-22" @default.
- W2921176247 creator A5001353249 @default.
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- W2921176247 date "2018-12-01" @default.
- W2921176247 modified "2023-09-25" @default.
- W2921176247 title "Trusted Throughput-Efficient Spectrum Sensing Against Intelligent Malicious Behaviors in Cognitive Radio Networks" @default.
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- W2921176247 doi "https://doi.org/10.1109/istel.2018.8660975" @default.
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