At present, the fifth generation (5G) communication networks are in the time of large-scale deployment principally because its characteristics consists of large bandwidth, fast response, and high stability. As a partner of 5G, the Internet of Things (IoT) involves billions of devices around the world, which can make the wireless communication environment more intelligent and convenient. However, the problem that cannot be ignored is the physical layer security of 5G-IoT networks. Based on this, we perform a security analysis of cognitive radio networks (CRN) for IoT, where the CRN is the single-input multiple-output (SIMO) model experiencing κ-μ shadowed fading with multiple eavesdroppers. To analyze the confidentiality of the system under consideration, we analyze the security performance for the considered IoT systems with the help of the derived secure outage probability (SOP) and probability of strictly positive secrecy capacity (SPSC). As a verification of the theoretical formula, Monte Carlo simulation is also provided. The results of great interest are the factors that can produce better security performance in high SNRs region which consist of smaller M, smaller , and larger N, and larger , smaller , and smaller .

中文翻译：

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广义衰落信道上认知无线电网络的保密性分析

当前，第五代（5G）通信网络主要由于其带宽大，响应速度快，稳定性高等特点而处于大规模部署时期。作为5G的合作伙伴，物联网（IoT）涉及全球数十亿台设备，这可以使无线通信环境更加智能和便捷。但是，不可忽视的问题是5G-IoT网络的物理层安全性。基于此，我们针对物联网执行认知无线电网络（CRN）的安全性分析，其中CRN是经历κ - μ的单输入多输出（SIMO）模型带多个窃听者的阴影褪色。为了分析所考虑系统的机密性，我们借助导出的安全中断概率（SOP）和严格正保密能力（SPSC）来分析所考虑的IoT系统的安全性能。作为理论公式的验证，还提供了蒙特卡洛模拟。极大的兴趣，结果是可以产生，其中包括更小的高信噪比区域更好的安全性能的因素中号，小，和更大的ñ，和更大的，更小的，小的。