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Collaborative spectrum sensing, which collects local observations or decisions from multiple secondary users to make a decision by a fusion center, is an effective approach to alleviate the unreliability of single-user spectrum sensing. However, it is subject to the attack of malicious secondary user(s), which may send false reports. Therefore, it is necessary to detect potential attacker(s) and make...
Collaborative spectrum sensing is subject to the attack of malicious secondary user(s), which may send false reports. Therefore, it is necessary to detect potential attacker(s) and then exclude the attacker's report for spectrum sensing. Many existing attacker-detection schemes are based on the knowledge of the attacker's strategy and thus apply the Bayesian attacker detection. However, in practical...
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