Suppr超能文献

SDR 全双工干扰概念验证增强物理层安全。

SDR Proof-of-Concept of Full-Duplex Jamming for Enhanced Physical Layer Security.

机构信息

Department of Informatics Engineering, University of Coimbra, CISUC, 3030-290 Coimbra, Portugal.

Department of Electrical and Computer Engineering, Instituto de Telecomunicações, University of Coimbra, 3030-290 Coimbra, Portugal.

出版信息

Sensors (Basel). 2021 Jan 28;21(3):856. doi: 10.3390/s21030856.

Abstract

In order to secure wireless communications, we consider the usage of physical-layer security (PLS) mechanisms (i.e., coding for secrecy mechanisms) combined with self-interference generation. We present a prototype implementation of a scrambled coding for secrecy mechanisms with interference generation by the legitimate receiver and the cancellation of the effect of self-interference (SI). Regarding the SI cancellation, four state-of-the-art algorithms were considered: Least mean square (LMS), normalized least mean square (NLMS), recursive least squares (RLS) and QR decomposition recursive least squares (QRDRLS). The prototype implementation is performed in real-world software-defined radio (SDR) devices using GNU-Radio, showing that the LMS outperforms all other algorithms considered (NLMS, RLS and QRDRLS), being the best choice to use in this situation (SI cancellation). It was also shown that it is possible to secure communication using only noise generation by the legitimate receiver, though a variation of the packet loss rate (PLR) and the bit error rate (BER) gaps is observed when moving from the fairest to an advantageous or a disadvantageous scenario. Finally, when noise generation was combined with the adapted scrambled coding for secrecy with a hidden key scheme, a noteworthy security improvement was observed resulting in an increased BER for Eve with minor interference to Bob.

摘要

为了确保无线通信的安全,我们考虑使用物理层安全 (PLS) 机制(即编码保密机制)结合自干扰生成。我们提出了一种利用合法接收方生成干扰并消除自干扰 (SI) 效应的扰码保密机制的原型实现。关于 SI 消除,我们考虑了四种最先进的算法:最小均方 (LMS)、归一化最小均方 (NLMS)、递归最小二乘 (RLS) 和 QR 分解递归最小二乘 (QRDRLS)。该原型实现是在使用 GNU-Radio 的实际软件定义无线电 (SDR) 设备中完成的,结果表明 LMS 优于所有其他考虑的算法(NLMS、RLS 和 QRDRLS),是在这种情况下(SI 消除)的最佳选择。结果还表明,仅使用合法接收方生成的噪声即可实现通信安全,尽管在从公平到有利或不利场景的转变过程中,观察到分组丢失率 (PLR) 和误比特率 (BER) 差距的变化。最后,当噪声生成与具有隐藏密钥方案的自适应扰码保密机制相结合时,观察到显著的安全改进,导致 Eve 的 BER 增加,而对 Bob 的干扰较小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/d8501e926e17/sensors-21-00856-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验