基于不同离群点检测技术的WRAN频谱感知恶意用户检测
Malicious User Detection in Spectrum Sensing for WRAN Using Different Outliers Detection Techniques
摘要：
在认知无线电中，在每个时间正确地检测主用户（PU）的存在是至关重要的。为了做到这一点，采取来自所有当前次级用户（SU）的帮助，并且这种采取被称为合作频谱感测。理想情况下，假设所有二级用户都向控制中心提供正确的结果。但在一定条件下，次用户会故意将错误的结果转发给控制中心，从而降低认知网络的性能。在本文中，我们研究了不同的技术来检测恶意用户或离群值。我们考虑到实际的环境条件，使得二次用户的接收信号经历衰落，并且在信号中也引入噪声。我们进一步研究了每种离群值检测器技术，并找出在不同时刻最合适的方法。
英文摘要：
In cognitive radio it is of prime importance that the presence of Primary Users (PU) is detected correctly at each of the time. In order to do so the help from all present Secondary Users (SU) is taken and such a taken is known as co-operative spectrum sensing. Ideally it is assumed that all the secondary users give the correct result to the control center. But there are certain conditions under which the secondary users deliberately forward wrong result to the control center so as to degrade the performance of the cognitive network. In this paper we study the different techniques for detecting the malicious users or outliers. We take into consideration practical environmental condition such that the received signal of the secondary users is made to undergo fading and noise is also introduced in the signal. We further go on to examine each of the outlier detector techniques and find out the most suitable at various instants.
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