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In Cognitive Radio Networks (CRNs), Cognitive radios (CRs) learn from their environment and adapt to the environment based on their learned beliefs accordingly. Malicious nodes may exploit the cognitive engine of CRs, and conduct belief manipulation attacks to degrade the network performance. In this paper, we address the problem of belief manipulation attacks and develop a distributed trust management...
We study the error performance of the stream-based cipher feedback mode (CFB) under go-back-N and selective-reject, in an error channel in terms of throughput. We model the performance of the CFB in terms of throughput and derive the number of stages needed to achieve the optimal throughput, under a given an error rate in an error channel.
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