A Byzantine attack defender: The Conditional Frequency Check
A Byzantine attack defender: The Conditional Frequency Check
复制标题
拜占庭攻击防御者：条件频率检查
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
P. Ning
中科院分区：
文献类型：
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作者：
Xiaofan He;H. Dai;P. Ning
协作频谱感知易受拜占庭攻击。当恶意用户控制网络时，现有的基于信誉的对策将变得无能为力。同时，也缺乏充分利用频谱状态的马尔可夫性来抑制传感器统计错误行为的方法。本文提出了一种基于马尔可夫谱模型的恶意用户检测方法。在一个可信传感器的协助下，该方法可以在任意比例的恶意用户存在的情况下实现较高的恶意用户检测精度，从而显著提高了协作频谱感知性能。
Collaborative spectrum sensing is vulnerable to the Byzantine attack. Existing reputation based countermeasures will become incapable when malicious users dominate the network. Also, there is a scarcity of methods that fully explore the Markov property of the spectrum states to restrain sensors' statistical misbehaviors. In this paper, a new malicious user detection method based on two proposed Conditional Frequency Check (CFC) statistics is developed with a Markovian spectrum model. With the assistance of one trusted sensor, the proposed method can achieve high malicious user detection accuracy in the presence of arbitrary percentage of malicious users, and thus significantly improves collaborative spectrum sensing performance.