当前位置: X-MOL 学术IEEE Wirel. Commun. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Physical Layer Security Framework for Cognitive Cyber-Physical Systems
IEEE Wireless Communications ( IF 10.9 ) Pub Date : 2020-08-18 , DOI: 10.1109/mwc.01.1900543
Ozan Alp Topal , Mehmet Ozgun Demir , Zekai Liang , Ali Emre Pusane , Guido Dartmann , Gerd Ascheid , Gunes Karabulut Kur

Cognitive cyber physical systems (CCPSs) are integrated closed-loop solutions with cyber and physical components that are empowered with cognitive properties. The security of these highly capable CCPSs is a critical issue that needs to be addressed collaboratively with the quality of service constraints and the associated transmission costs. In this article, we highlight the properties of CCPSs, address possible security threats, and provide prominent physical layer security (PLS) solutions. Then we introduce the utility concept as a metric to aid the decision among numerous transmission policies that include combinations of PLS techniques. The PLS framework selects the appropriate transmission policy by maximizing the associated utility while taking user requirements into account. The proposed framework has a flexible, risk-aware control structure. Its real-time applicability is demonstrated with a software-defined- radio-based measurement campaign, along with simulation results.

中文翻译:


认知网络物理系统的物理层安全框架



认知网络物理系统(CCPS)是具有认知属性的网络和物理组件的集成闭环解决方案。这些高性能 CCPS 的安全性是一个关键问题,需要与服务质量约束和相关传输成本共同解决。在本文中,我们重点介绍 CCPS 的属性、解决可能的安全威胁,并提供出色的物理层安全 (PLS) 解决方案。然后,我们引入效用概念作为衡量标准,以帮助在包括 PLS 技术组合的众多传输策略中做出决策。 PLS 框架通过在考虑用户需求的同时最大化相关效用来选择适当的传输策略。所提出的框架具有灵活的、具有风险意识的控制结构。它的实时适用性通过软件定义的基于无线电的测量活动以及模拟结果得到了证明。
更新日期:2020-08-18
down
wechat
bug