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Physical Detection of Misbehavior in Relay Systems With Unreliable Channel State Information

机译:具有不可靠信道状态信息的中继系统中不当行为的物理检测

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We study the detection of misbehavior in a Gaussian relay system, where the source transmits information to the destination with the assistance of an amplify-and-forward relay node subject to unreliable channel state information (CSI). The relay node may be potentially malicious and corrupt the network by forwarding garbled information. In this situation, misleading feedback may take place, since reliable CSI is unavailable at the source and/or the destination. By classifying the action of the relay as detectable or undetectable, we propose a novel approach that is capable of coping with any malicious attack detected and continuing to work effectively in the presence of unreliable CSI. We demonstrate that the detectable class of attacks can be successfully detected with a high probability. Meanwhile, the undetectable class of attacks does not affect the performance improvements that are achievable by cooperative diversity, even though such an attack may fool the proposed detection approach. We also extend the method to deal with the case in which there is no direct link between the source and the destination. The effectiveness of the proposed approach has been validated by numerical results.
机译:我们研究了在高斯中继系统中检测不良行为的情况,在该系统中,源受不可靠信道状态信息(CSI)影响的放大转发中继节点的帮助将信息传输到目的地。中继节点可能是潜在恶意的,并通过转发乱码信息来破坏网络。在这种情况下,可能会产生误导性的反馈,因为在源和/或目的地没有可靠的CSI。通过将中继的动作分类为可检测或不可检测,我们提出了一种新颖的方法,该方法能够应对检测到的任何恶意攻击,并在存在不可靠CSI的情况下继续有效地工作。我们证明可以高概率成功检测到可检测的攻击类别。同时,不可检测的攻击类别不会影响通过协作分集可以实现的性能改进,即使这种攻击可能会使所提出的检测方法无效。我们还扩展了该方法,以处理源与目的地之间没有直接链接的情况。数值结果验证了该方法的有效性。

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