A robust malicious user detection scheme in cooperative spectrum sensing
A robust malicious user detection scheme in cooperative spectrum sensing
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DOI：
10.1109/glocom.2012.6503888
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发表时间：
2012-12
期刊：
影响因子：
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通讯作者：
Changlong Chen;Min Song;C. Xin;Mansoor Alam
中科院分区：
文献类型：
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作者：
Changlong Chen;Min Song;C. Xin;Mansoor Alam
在认知无线电网络中，协作频谱感知对于次要用户准确检测主要用户至关重要。但容易受到恶意用户的攻击，恶意用户故意报告错误的感知结果，误导其他二级用户或融合中心决策。因此，恶意用户的检测对于频谱感知来说极其重要。本文提出了一种去中心化方案来检测协作频谱感知中的恶意用户。该方案利用邻近的次要用户之间接收信号强度的空间相关性，并基于鲁棒的异常值检测技术。我们还提出了一种邻域多数投票方法，供二级用户决定特定用户是否恶意。仿真结果表明，该方案在恶意用户检测方面能够取得很好的性能。
In cognitive radio networks, cooperative spectrum sensing is critical for secondary users to accurately detect primary users. However, it is vulnerable to attacks from malicious users, which intentionally report incorrect sensing results, to mislead other secondary users or the fusion center in decision making. Therefore, detection of malicious users is extremely important for spectrum sensing. This paper proposes a decentralized scheme to detect malicious users in cooperative spectrum sensing. The scheme utilizes spatial correlation of received signal strengths among secondary users in close proximity and is based on robust outlier-detection technique. We have also proposed a neighborhood majority voting approach for the secondary users to decide if a specific user is malicious. Simulation results show that the proposed scheme can achieve a very good performance in detecting malicious users.