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Cooperative spectrum sensing in the presence of primary user emulation attack in cognitive radio network: multi-level hypotheses test approach

机译：认知无线电网络中存在主要用户仿真攻击的合作频谱感知：多级假设测试方法

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摘要

The inherent nature of cognitive radio (CR) networks has brought new threats to wireless communications. Primary user emulation attack (PUEA) has been widely studied as a serious threat to cooperative spectrum sensing (CSS) in CR networks. In PUEA, a malicious user can obstruct CR users from accessing idle frequency bands by imitating licensed primary user (PU) signal characteristics. The present study introduces a new CSS scheme in the presence of a malicious PUEA based on multi-level hypothesis testing (MLHT). In the proposed method, generalizing from binary hypothesis testing to MLHT, we partition the decision space to four decision options and apply minimum Bayes cost criteria to determine the channel status. We also discuss practical limitation issues that need to be considered when applying the MLHT approach. Simulation results are provided to indicate the performance improvement of the proposed MLHT method against PUEA, compared with the conventional method.
机译：认知无线电（CR）网络的固有性质给无线通信带来了新的威胁。主要用户仿真攻击（PUEA）已被广泛研究为对CR网络中协作频谱感知（CSS）的严重威胁。在PUEA中，恶意用户可以通过模仿许可的主要用户（PU）信号特征来阻止CR用户访问空闲频带。本研究介绍了一种基于多级假设测试（MLHT）的恶意PUEA存在下的新CSS方案。在提出的方法中，从二元假设检验到MLHT推广，我们将决策空间划分为四个决策选项，并应用最小贝叶斯成本准则来确定信道状态。我们还将讨论应用MLHT方法时需要考虑的实际限制问题。仿真结果表明，与常规方法相比，所提出的MLHT方法针对PUEA的性能有所提高。

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