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An Anti-Attack Trust Mechanism Based on Collaborative Spectrum Sensing for Underwater Acoustic Sensor Networks

机译:基于水下声学传感器网络的协作频谱感测的反攻击信任机制

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The main method for long-distance underwater communication is underwater acoustic communication(UAC). The bandwidth of UAC channel is narrow and the frequency band resources are scarce. Therefore, it is important to improve the frequency band utilization of UAC system. Cognitive underwater acoustic (CUA) technology is an important method. CUA network can share spectrum resources with the primary network. Spectrum sensing (SS) technology is the premise of realizing CUA. Therefore, improving the accuracy of spectral sensing is the main purpose of this paper. However, the realization of underwater SS technology still faces many difficulties. First, underwater energy supplies are scarce, making it difficult to apply complex algorithms. Second, and more seriously, CUA network can sometimes be attacked and exploited by hostile forces, which will not only lead to data leakage, but also greatly affect the accuracy of SS. In order to improve the utilization of underwater spectrum and avoid attack, an underwater spectrum sensing model based on the two-threshold energy detection method and K of M fusion decision method is established. Then, the trust mechanism based on beta function and XOR operation are proposed to combat individual attack and multi-user joint attack (MUJA) respectively. Finally, simulation result shows the effectiveness of these methods.
机译:远程水下通信的主要方法是水下声学通信(UAC)。 UAC信道的带宽窄,频段资源稀缺。因此,重要的是改善UAC系统的频带利用。认知水下声学(CUA)技术是一种重要的方法。 CUA网络可以使用主网络共享频谱资源。频谱传感(SS)技术是实现CUA的前提。因此,提高光谱感测的准确性是本文的主要目的。然而,水下SS技术的实现仍然面临着许多困难。首先,水下能源供应稀缺,使得难以应用复杂的算法。其次,更严重的是,CUA网络有时可以被敌对的力量攻击和利用,这不仅会导致数据泄漏,而且大大影响SS的准确性。为了提高水下频谱的利用并避免攻击,建立了基于双阈值能量检测方法和M融合决策方法的水下光谱传感模型。然后,提出了基于BETA函数和XOR操作的信任机制来分别打击各个攻击和多用户联合攻击(MUJA)。最后,仿真结果显示了这些方法的有效性。

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