Mitigation of the Spectrum Sensing Data Falsifying Attack in Cognitive Radio Networks
Mitigation of the Spectrum Sensing Data Falsifying Attack in Cognitive Radio Networks
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DOI：
10.1080/23335777.2020.1811387
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
Rajorshi Biswas;Jie Wu;Xiaojiang Du
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文献类型：
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作者：
Rajorshi Biswas;Jie Wu;Xiaojiang Du
认知无线电网络（CRN）为利用频谱提供了新颖的网络架构，近年来引起了人们的广泛关注。在CRN中，次要用户（SU）首先确定信道的状态；如果是免费的，他们就开始传输。如果状态确定错误，SU可能会不必要地干扰许可的主用户(PU)。在协作频谱感知中，SU 根据自己和其他 SU 的感知结果来决定 PU 的存在。恶意 SU (MSU) 向 SU 发送错误的感知结果，以便它们对 PU 的存在做出错误的决策。因此，SU 可能会在 PU 存在期间进行传输，或者可能会持续缺乏频谱。在本文中，我们提出了一种基于信誉的协作频谱感知机制，可以最大限度地减少 MSU 对决策的影响。一些 SU 被选为分布式融合中心 (DFC)，负责做出有关 PU 存在的决策并通知报告 SU。 DFC 在报告的 SU 中使用加权多数投票，其中权重是根据声誉确定的。 DFC 根据选举的信心更新 SU 的声誉。如果多数派以大幅优势获胜，则选举的信心就很高。在这种情况下，属于多数的SU会获得很高的声誉。我们提供广泛的模拟来验证我们提出的模型。
Cognitive radio networks (CRNs), offering novel network architecture for utilizing spectrum, have attracted significant attention in recent years. In CRNs, secondary users (SUs) first determine the status of a channel; if it is free, they start transmitting. If the status determination is wrong, SUs may unnecessarily interfere with the licensed primary user (PU). In cooperative spectrum sensing, a SU makes a decision about the presence of the PU based on its own and other SUs' sensing results. Malicious SUs (MSUs) send false sensing results to SUs so that they make wrong decisions about the PU presence. As a result, a SU may transmit during the presence of the PU or may keep starving for the spectrum. In this paper, we propose a reputation-based mechanism for cooperative spectrum sensing which can minimize the effects of MSUs on decision making. Some of the SUs are selected as distributed fusion centers (DFCs), which are responsible for making decisions about the PU presence and inform the reporting SUs. A DFC uses weighted majority voting among the reporting SUs, where weights are determined based on reputation. The DFC updates reputations of SUs based on confidence of an election. If the majority wins by a significant margin, the confidence of the election is high. In this case, SUs that belong to the majority get high reputations. We provide extensive simulations to validate our proposed model.