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Performance improvements of reputation-based cooperative spectrum sensing

机译：基于信誉的协作频谱感知的性能改进

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Cognitive radio is establishing itself as the most promising technology in tackling the problem of spectrum scarcity. It allows secondary users to opportunistically access and re-use the spectrum resources under-utilized by licensed or primary users. Spectrum sensing (either cooperative or non-cooperative modes) is exploited to identify those unused (free) frequency bands. This new technology has been proved to be vulnerable to an increasing number of attacks, such as Byzantine attacks. Here, we propose a novel reputation-based cooperative spectrum sensing method that first detects, and then rejects any malicious secondary user, thus improving the system performances. We evaluate the error probabilities (detection vs. false alarms) of the system, as well as the number of both correctly identified attackers and discarded honest users. Finally, we compare our method to a recently published reputation-based method (either blind or non-blind). As shown by the simulation results, the proposed method outperforms the conventional approach, confirming its robustness in detecting different types of Byzantine attacks.
机译：认知无线电正在成为解决频谱短缺问题的最有前途的技术。它允许次要用户机会性地访问和重新使用许可用户或主要用户未充分利用的频谱资源。利用频谱感测（合作或非合作模式）来识别那些未使用的（自由）频带。事实证明，这项新技术容易受到越来越多的攻击（例如拜占庭式攻击）的攻击。在这里，我们提出了一种新颖的基于信誉的协作频谱感知方法，该方法首先检测然后拒绝任何恶意的次要用户，从而提高了系统性能。我们评估系统的错误概率（检测与错误警报），以及正确识别的攻击者和被丢弃的诚实用户的数量。最后，我们将我们的方法与最近发布的基于信誉的方法（盲或非盲）进行了比较。仿真结果表明，该方法优于传统方法，证实了其在检测不同类型的拜占庭式攻击中的鲁棒性。

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