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Trust level based Byzantine attack-exclusion cooperative spectrum sensing scheme for Wireless Cognitive Sensor Networks in smart grids

机译:基于信任级别的拜占庭攻击 - 排除合作协作频谱传感器网络智能电网中的无线认知传感器网络

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To deal with the challenges of Wireless Sensor Networks (WSN) in the smart grid, such as heterogeneous coexistence, spectrum scarcity, tremendous data processing and Security guarantees, revolutionary communication architecture is urgently demanded, a revolutionary communication paradigm termed as Wireless Cognitive Sensor Network (WCSN) whose basic idea is to incorporate cognitive radio capability in wireless sensor network is introduced. In this paper, we investigate how to defense against the new type of attack in the WCSN of smart grids: Byzantine attack, where the malicious secondary user sends false reporting values to the control center inducing the control center to make wrong decisions on spectrum allocation and power dispatching. Specifically, we develop a Byzantine attack detection algorithm that calculates the trust level of each wireless cognitive sensor in the smart grid based on their past reporting values. Once the trust value and consistency value for each secondary user are calculated by the control center, the reporting values will be excluded in decision-making if these two values are blow certain thresholds. Simulation results verify that even a single malicious user can significantly degrade the performance of collaborative sensing and our scheme can effectively distinguish malicious secondary users from legitimate ones compared with existing defense methods (i.e. OR rule). The Receiver Operating Characteristic (ROC) curves for the Byzantine attack detection demonstrate the improvement on the security of collaborative spectrum sensing in the WCSN of the smart grid.
机译:为了应对智能电网中无线传感器网络(WSN)的挑战,例如异构共存,频谱稀缺,巨大的数据处理和安全保证,迫切需要革命性的通信架构,称为无线认知传感器网络的革命性通信范式(介绍了WCSN,其基本思想是在无线传感器网络中纳入认知无线电能力。在本文中,我们调查如何对智能电网WCSN的新类型攻击:拜占庭攻击,恶意辅助用户向控制中心发送错误报告值,诱导控制中心在频谱分配上做出错误的决策。配发。具体地,我们开发一种拜占庭式攻击检测算法,基于其过去的报告值计算智能电网中每个无线认知传感器的信任级别。一旦控制中心计算了每个辅助用户的信任值和一致性值,如果这两个值吹过某些阈值,则将在决策中排除报告值。仿真结果验证,即使是单一恶意用户也可以显着降低协作感测的性能,我们的方案可以与现有的防御方法(即或规则)相比,有效地将恶意二级用户与合法的用户有效地区分恶意二级用户。拜占庭攻击检测的接收器操作特性(ROC)曲线证明了智能电网WCSN中协同光谱感测的安全性的提高。

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