增强物理层安全的自适应策略综述

IF 28 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Zhuoying Duan, Zikai Chang, Ning Xie, Weize Sun, Dusit (Tao) Niyato
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引用次数: 0

摘要

物理层安全自适应方案是为了动态响应无线信道的变化情况而设计的,在加强无线通信系统的安全性方面起着至关重要的作用。我们对物理层安全中自适应方案的研究现状进行了全面的分析,引入了一种新的分类法来更有效地对这些方案进行分类和理解。本调查提供的见解与文献中的见解进行了详细的比较,突出了我们工作的独特贡献。我们深入研究了与各种适应方案相关的贡献和挑战,提供了宝贵的经验教训和总结,以指导进一步的研究。在附录的第二部分讨论了自适应方案的未来研究方向,旨在满足当前和未来无线通信系统的需求。通过这项调查,我们旨在丰富物理层安全自适应方案的论述,为提高无线网络安全性的先进研究和开发铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Strategies in Enhancing Physical Layer Security: A Comprehensive Survey
Adaptive schemes in physical layer security, designed to dynamically respond to the evolving conditions of wireless channels, play a crucial role in fortifying the security of wireless communication systems. We offer a thorough analysis of the current state of research on adaptive schemes in physical layer security, introducing a novel taxonomy to categorize and understand these schemes more effectively. A detailed comparison is drawn between the insights provided in this survey and those from the literature, highlighting the unique contributions of our work. We delve into the contributions and challenges associated with various adaptive schemes, providing valuable lessons and summaries to guide further research. The future research directions of the adaptive scheme are discussed in Part 2 of the Appendix, aiming to address the current and emerging demands of wireless communication systems. Through this survey, we aim to enrich the discourse on adaptive schemes in physical layer security, paving the way for advanced research and development in enhancing the security of wireless networks.
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来源期刊
ACM Computing Surveys
ACM Computing Surveys 工程技术-计算机:理论方法
CiteScore
33.20
自引率
0.60%
发文量
372
审稿时长
12 months
期刊介绍: ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods. ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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