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Trust-Based System to Defend Against the Spectrum Sensing Data Falsification Attack in Cognitive Radio Ad Hoc Network

机译:基于信任的系统防御认知无线电自组织网络中的频谱感知数据篡改攻击

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The underutilization of the spectrum band has led to the problems of spectrum shortage. While some spectrum bands remain unutilized, some radio devices are overcrowded in their spectrum bands. Cognitive radio networks address the challenges of spectrum underutilization by allowing the secondary devices to utilize the vacant spectrum band of the licensed devices opportunistically. The secondary devices have to incorporate spectrum sensing cooperatively. Due to cooperative spectrum sensing, security challenges like the spectrum sensing data falsification (SSDF) attack have emerged. The SSDF attack is an attack whereby malicious secondary users report incorrect spectrum information to their neighbouring nodes which can cause interference to licensed users. This paper proposes a trust-based system known as the reputation-based system to mitigate the effects of the SSDF attack in cognitive radio ad hoc networks. Results are presented in forms of graphs simulated using Matlab installed in Windows 10 operating system.
机译:频谱利用不足导致了频谱短缺的问题。虽然某些频谱频带未被利用,但是一些无线电设备在其频谱频带中过于拥挤。认知无线电网络通过允许次要设备机会性地利用许可设备的空闲频谱带来解决频谱利用不足的挑战。次级设备必须协作地合并频谱感测。由于协作频谱感测,出现了诸如频谱感测数据篡改(SSDF)攻击之类的安全挑战。 SSDF攻击是一种恶意二级用户向其相邻节点报告不正确频谱信息的攻击,这可能会对许可用户造成干扰。本文提出了一种基于信任的系统,称为基于信誉的系统,以减轻SSDF攻击在认知无线电自组织网络中的影响。结果以使用Windows 10操作系统中安装的Matlab模拟的图形的形式呈现。

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