An Overview and Future Directions on Physical-Layer Security for Cognitive Radio Networks
An Overview and Future Directions on Physical-Layer Security for Cognitive Radio Networks
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DOI：
10.1109/mnet.011.2000507
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发表时间：
2021-05
期刊：
影响因子：
9.3
通讯作者：
Deemah H. Tashman;W. Hamouda
中科院分区：
文献类型：
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作者：
Deemah H. Tashman;W. Hamouda
认知无线电网络（CRN）已成为解决频谱利用不足问题的可靠技术。认知无线电（CR）被认为是智能的，因为它可以感知、学习并根据周围环境的变化改变其发射和接收参数。这些操作的特点是 CR 认知周期。在认知的三个阶段中，用户容易受到物理层多种类型的攻击。各种类型的物理层攻击都可能导致 CRN 上的数据安全性丧失。本文概述了 CRN 的物理层安全性 (PLS)。介绍了针对 CRN 物理层的一些主要攻击，例如主用户模拟攻击 (PUEA)、感知伪造、干扰和窃听。此外，还提供了一些对抗这些攻击并确保数据隐私的建议方法。我们重点介绍一些打击窃听的方法。包括当前的挑战和未来的研究方向。
Cognitive radio networks (CRNs) have emerged as a reliable technology to address the problem of spectrum under-utilization. Cognitive radio (CR) is known to be intelligent, as it can sense, learn, and change its transmitting and receiving parameters according to changes in the surrounding environment. These operations are characterized by the CR cognition cycle. During the three stages of cognition, users are vulnerable to several types of attacks on the physical layer. Various types of physical-layer attacks can lead to loss of data security over CRNs. In this article, an overview of physical-layer security (PLS) for CRNs is provided. Some of the major attacks over the physical layer of CRN are presented, such as primary user emulation attack (PUEA), sensing falsification, jamming, and eavesdropping. Moreover, some of the suggested methods to combat these attacks and ensure data privacy are provided. We focus on presenting certain methods to combat eavesdropping. Current challenges and future research directions are included.