• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.3390/s21030856
PMID:33525355
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7865673/
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/d3897d3ca5b4/sensors-21-00856-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/d8501e926e17/sensors-21-00856-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/a96b78c2ec2f/sensors-21-00856-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/4bdc7fcbb508/sensors-21-00856-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/48445778e0e8/sensors-21-00856-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/dca86ba2fe4f/sensors-21-00856-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/76606dccc3ce/sensors-21-00856-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/bc6fa13885bd/sensors-21-00856-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/eede29962456/sensors-21-00856-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/ddc0f2fbf7d1/sensors-21-00856-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/34869a609220/sensors-21-00856-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/082b8ea6cb60/sensors-21-00856-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/d3897d3ca5b4/sensors-21-00856-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/d8501e926e17/sensors-21-00856-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/a96b78c2ec2f/sensors-21-00856-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/4bdc7fcbb508/sensors-21-00856-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/48445778e0e8/sensors-21-00856-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/dca86ba2fe4f/sensors-21-00856-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/76606dccc3ce/sensors-21-00856-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/bc6fa13885bd/sensors-21-00856-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/eede29962456/sensors-21-00856-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/ddc0f2fbf7d1/sensors-21-00856-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/34869a609220/sensors-21-00856-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/082b8ea6cb60/sensors-21-00856-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8af9/7865673/d3897d3ca5b4/sensors-21-00856-g012.jpg

相似文献

1
SDR Proof-of-Concept of Full-Duplex Jamming for Enhanced Physical Layer Security.SDR 全双工干扰概念验证增强物理层安全。
Sensors (Basel). 2021 Jan 28;21(3):856. doi: 10.3390/s21030856.
2
Secrecy Coding Analysis of Short-Packet Full-Duplex Transmissions with Joint Iterative Channel Estimation and Decoding Processes.具有联合迭代信道估计与解码过程的短包全双工传输的保密编码分析
Sensors (Basel). 2022 Jul 14;22(14):5257. doi: 10.3390/s22145257.
3
Adaptive Software Defined Equalization Techniques for Indoor Visible Light Communication.自适应软件定义均衡技术在室内可见光通信中的应用。
Sensors (Basel). 2020 Mar 14;20(6):1618. doi: 10.3390/s20061618.
4
Secrecy Performance Enhancement Using Self-Interference Cancellation in Wireless Mutual Broadcast Networks for Proximity-Based Services.基于接近度服务的无线互播网络中利用自干扰消除提高保密性能
Sensors (Basel). 2024 May 24;24(11):3389. doi: 10.3390/s24113389.
5
Implications of Coding Layers on Physical-Layer Security: A Secrecy Benefit Approach.编码层对物理层安全的影响:一种保密效益方法。
Entropy (Basel). 2019 Aug 1;21(8):755. doi: 10.3390/e21080755.
6
Low-Complexity Self-Interference Cancellation for Multiple Access Full Duplex Systems.多址全双工系统中的低复杂度自干扰消除。
Sensors (Basel). 2022 Feb 15;22(4):1485. doi: 10.3390/s22041485.
7
Digital Self-Interference Cancellation for Asynchronous In-Band Full-Duplex Underwater Acoustic Communication.数字自干扰消除在异步带内全双工水声通信中的应用。
Sensors (Basel). 2018 May 24;18(6):1700. doi: 10.3390/s18061700.
8
Secure Multiuser Communications in Wireless Sensor Networks with TAS and Cooperative Jamming.基于选择式放大转发与协作干扰的无线传感器网络安全多用户通信
Sensors (Basel). 2016 Nov 12;16(11):1908. doi: 10.3390/s16111908.
9
Physical Layer Security Using Two-Path Successive Relaying.基于双路径连续中继的物理层安全技术
Sensors (Basel). 2016 Jun 9;16(6):846. doi: 10.3390/s16060846.
10
An overview of generic tools for information-theoretic secrecy performance analysis over wiretap fading channels.关于窃听衰落信道上信息论保密性能分析通用工具的综述。
EURASIP J Wirel Commun Netw. 2021;2021(1):194. doi: 10.1186/s13638-021-02065-4. Epub 2021 Dec 4.

引用本文的文献

1
Hiding Messages in Secure Connection Transmissions with Full-Duplex Overt Receiver.全双工显性接收隐藏安全连接传输中的消息。
Sensors (Basel). 2022 Aug 3;22(15):5812. doi: 10.3390/s22155812.
2
Secrecy Coding Analysis of Short-Packet Full-Duplex Transmissions with Joint Iterative Channel Estimation and Decoding Processes.具有联合迭代信道估计与解码过程的短包全双工传输的保密编码分析
Sensors (Basel). 2022 Jul 14;22(14):5257. doi: 10.3390/s22145257.
3
Low-Cost Sensor Based on SDR Platforms for TETRA Signals Monitoring.基于软件定义无线电平台的低成本 TETRA 信号监测传感器。
Sensors (Basel). 2021 May 2;21(9):3160. doi: 10.3390/s21093160.