Collaborative Compressive Spectrum Sensing using Iterative Attack Detection

Li Han-Qing

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Collaborative Compressive Spectrum Sensing using Iterative Attack Detection

更新时间：2023-11-14

- Collaborative Compressive Spectrum Sensing using Iterative Attack Detection
- Advanced Engineering Sciences Vol. 45, Issue Z2, Pages: 165-169(2013)
- 作者机构：
  
  哈尔滨工业大学
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2013，
  
  Published Online：4 March 2013，
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李含青,郭庆,李庆忠.基于迭代攻击检测的联合压缩频谱感知算法[J].工程科学与技术,2013,45(Z2):165-169.

Li Han-Qing. Collaborative Compressive Spectrum Sensing using Iterative Attack Detection. [J]. Advanced Engineering Sciences 45(Z2):165-169(2013)
李含青,郭庆,李庆忠.基于迭代攻击检测的联合压缩频谱感知算法[J].工程科学与技术,2013,45(Z2):165-169. DOI：

Li Han-Qing. Collaborative Compressive Spectrum Sensing using Iterative Attack Detection. [J]. Advanced Engineering Sciences 45(Z2):165-169(2013) DOI：

摘要

中文摘要: 针对宽带认知无线电网络中频谱感知所需采样率过高以及频谱感知性能容易受到模仿主用户攻击威胁的问题，提出了基于迭代攻击检测的联合压缩频谱感知算法。认知无线电用户利用压缩感知理论降低信号的采样率，并将感知结果报告给融合中心。融合中心利用来自各认知无线电用户的感知报告估计主用户发射信号功率和路径损失参数，根据估计误差得到测量剩余值。在迭代攻击检测中，通过比较测量剩余值发现和去除受到模仿主用户攻击影响的异常感知报告，合并剩余报告得到可靠的联合频谱感知结果。仿真表明，该算法能够有效抵抗模仿主用户攻击，并且能够以低于奈奎斯特准则的采样率实现准确可靠的频谱感知。

Abstract

Abstract:In wideband cognitive radio (CR) networks

spectrum sensing entails the technical challenges that high sampling rates are required for processing wideband signals

and the performance of spectrum sensing can be easily compromised by primary user emulation attack (PUEA). To overcome these challenges

a collaborated compressive spectrum sensing algorithm using iterative attack detection is developed in this paper. Compressive sensing is performed at each CR to reduce the sampling rates and the complexity of signal acquisition. The fusion center collects the sensing reports from CRs to estimate primary user’s transmit power and pathloss exponent

and monitors the measurement residual which is utilized in iterative attack detection to detect abnormal sensing reports compromised by PUEA. After removing abnormal sensing reports

collaborated spectrum sensing accuracy can be improved. Simulations show the proposed algorithm is robust to PUEA

and achieves effective and reliable spectrum sensing at sub-Nyquist sampling rate.

关键词

认知无线电联合频谱感知模仿主用户攻击压缩感知

Keywords

cognitive radiocollaborative spectrum sensingprimary user emulation attackcompressive sensing

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School of Electrics (Electromechanical) Eng.,Xuchang Univ.

The 28th Research Inst. of China Electronics Technol.Group Corp.

Dept. of Automation,Tsinghua Univ.

哈尔滨工业大学通信技术研究所黑龙江

海军工程大学通信工程系

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