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计算机工程

• 移动互联与通信技术 • 上一篇    下一篇

基于码元S函数匹配的PUE攻击检测研究

刘东杰,郑文秀,牛莉敏   

  1. (西安邮电大学 通信与信息工程学院,西安 710061)
  • 收稿日期:2016-07-08 出版日期:2017-09-15 发布日期:2017-09-15
  • 作者简介:刘东杰(1989—),男,硕士研究生,主研方向为信号处理;郑文秀,副教授、博士;牛莉敏,硕士研究生。
  • 基金项目:
    陕西省教育厅科学研究计划项目(14JK1663)。

Research on PUE Attack Detection Based on S Function Matching of Code Element

LIU Dongjie,ZHENG Wenxiu,NIU Limin   

  1. (College of Communication and Information Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710061,China)
  • Received:2016-07-08 Online:2017-09-15 Published:2017-09-15

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摘要： 为对主用户(PU)与仿冒主用户(PUE)的辐射源进行有效识别,采用S函数对码元包络上升沿进行曲线拟合及参数提取,提出一种将拟合参数作为辐射源指纹特征进行用户识别的方法。通过模拟构造不同用户的辐射源码元信息,利用S函数模型匹配拟合码元上升沿,提取合适的码元上升沿特征参数构建辐射源指纹特征向量,并采用模糊C均值聚类区分PU与PUE的辐射源。实验结果表明,该方法能快速准确地实现PUE攻击信号的检测,并且可靠性高、运算量小。

关键词: 辐射源识别, 曲线拟合, 码元上升沿, 特征提取, S函数, 仿冒主用户

Abstract: For the sake of effectively distinguishing emitter of Primary User(PU) from that of the Primary User Emulation(PUE),this paper realizes curve fitting and parameter extraction of code element rising edge by S function,and puts forward a method which uses fitting parameters as emitter fingerprint features for user identification.After simulating and structuring the different user emitter’s code element information,it uses S function model to match code element rising edge to extract the appropriate code element rising edge feature parameters and build the emitter fingerprint feature vector.Finally,it distinguishes the emitters of PU and PUE by Fuzzy C-mean(FCM) clustering.Experimental results show that this method can quickly and precisely detect PUE attack signal and has good reliability and small amount of operation.

Key words: emitter recognition, curve fitting, code element rising edge, feature extraction, S function, Primary User Emulation(PUE)

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