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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Secure Distributed Estimation Over Wireless Sensor Networks Under Attacks
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Secure Distributed Estimation Over Wireless Sensor Networks Under Attacks

机译：受到攻击的无线传感器网络上的安全分布式估计

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摘要

The problem of distributed estimation over wireless sensor networks in an adversarial environment with the presence of attacks on sensed and communicated information is considered. To tackle with this problem, a secure diffusion least-mean squares (S-dLMS) algorithm is proposed. The proposed S-dLMS can be considered as a hybrid system, which consists of a noncooperative LMS (nc-LMS) subsystem and a diffusion LMS (dLMS) subsystem. The nc-LMS subsystem is used to provide a reliable reference estimate, which is further used for constructing the threshold test to detect the trust neighbors of each node. Then, based on the detected secure network topology, the dLMS subsystem is performed by combining the received information from the trust neighbors. The performance of the proposed S-dLMS algorithm in the mean and mean-square senses is analyzed, and then an adaptive rule is suggested to select the threshold for detection. Finally, some simulations are performed to show the effectiveness of the proposed S-dLMS algorithm under fixed and time-varying attacks, respectively.
机译：考虑了在对抗环境中通过无线传感器网络进行分布式估计的问题，其中存在对感知和传达的信息的攻击。为了解决这个问题，提出了一种安全扩散最小均方（S-dLMS）算法。可以将提出的S-dLMS视为一个混合系统，它由非合作LMS（nc-LMS）子系统和扩散LMS（dLMS）子系统组成。 nc-LMS子系统用于提供可靠的参考估计，该参考估计还用于构建阈值测试以检测每个节点的信任邻居。然后，基于检测到的安全网络拓扑，通过组合从信任邻居接收到的信息来执行dLMS子系统。分析了所提出的S-dLMS算法在均值和均方意义上的性能，然后提出了一种自适应规则来选择检测阈值。最后，进行了一些仿真，分别证明了所提出的S-dLMS算法在固定和时变攻击下的有效性。

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