移动场景下主用户仿真攻击检测方法研究
发布时间：2019-04-09 19:20
【摘要】：为了满足不断增长频谱资源需求,人们提出了认知无线电技术提高授权频谱的利用率。通过搜索频谱空洞,认知无线电网络(Cognitive Radio Network,CRN)中的从用户(Secondary User,SU)可在不干扰主用户(Primary User,PU)网络正常通信的情况下智能地接入频谱资源。然而,CRN的认知特性引入了新的安全问题,主用户仿真攻击(Primary User Emulation Attack,PUEA)是其中一种典型攻击。在PUEA中,攻击者模仿PU发送信号,使SU错误判断当前频谱已被占用而无法正常接入空闲频谱。论文研究移动场景下CRN的PUEA检测技术。研究SU移动场景下的PUEA问题,提出一种基于信道特征的PUEA混合检测方法。该方法使用信号收发机间多普勒频移与接收信号方差判断接收信号的来源。在SU移动场景下,因相对速度不同,SU与仿真主用户(Primary User Emulator,PUE)之间的多普勒频移可能和SU与PU之间的多普勒频移不同。但SU与PUE之间的相对位置可能会影响基于信道多普勒频移PUEA检测方法的性能。为了克服这种影响,我们综合考虑了接收信号方差用于PUEA检测。仿真结果表明所提出的PUEA检测方法具有良好的检测性能。同时,基于USRP的实验平台测试结果验证了所提出的PUEA检测方法的有效性。研究PU、SU与PUE均具有移动性场景下的PUEA问题,提出一种基于I/Q不平衡的PUEA检测方法。该方法考虑到不同直接变频收发机具有不同的I/Q不平衡,且该特征与信号收发机的运动状态无关。以虚警概率和检测概率为性能指标,分析了所提出的PUEA检测方法的检测性能。仿真结果表明所提出的PUEA检测方法具有良好的检测性能,可解决移动场景下的PUEA问题。
[Abstract]:In order to meet the increasing demand of spectrum resources, cognitive radio technology is proposed to improve the utilization of authorized spectrum. By searching for spectrum holes, the slave user (Secondary User,SU) in cognitive radio network (Cognitive Radio Network,CRN) can access spectrum resources intelligently without interfering with the normal communication of primary user (Primary User,PU) network. However, the cognitive characteristics of CRN introduce new security problems, and the master user simulation attack (Primary User Emulation Attack,PUEA) is one of the typical attacks. In PUEA, an attacker imitates PU to send a signal, which makes SU mistakenly judge that the current spectrum has been occupied and cannot access the idle spectrum properly. In this paper, the PUEA detection technology of CRN in mobile scene is studied. In this paper, the PUEA problem in SU mobile scene is studied, and a hybrid PUEA detection method based on channel features is proposed. The method uses Doppler shift between transceivers and variance of received signal to judge the source of received signal. In the SU mobile scene, the Doppler shift between SU and (Primary User Emulator,PUE (simulation master user) may be different from that between SU and PU due to the difference of relative velocity. However, the relative position between SU and PUE may affect the performance of PUEA detection method based on channel Doppler frequency shift. In order to overcome this effect, we consider the received signal variance for PUEA detection. Simulation results show that the proposed PUEA detection method has good detection performance. At the same time, the test results of the experimental platform based on USRP verify the effectiveness of the proposed PUEA detection method. In this paper, we study the PUEA problem in which both PU,SU and PUE have mobility scenarios, and propose a PUEA detection method based on I / Q imbalance. The method takes into account that different direct frequency conversion transceivers have different I / Q imbalance, and this characteristic is independent of the motion state of the signal transceiver. Taking false alarm probability and detection probability as performance indexes, the detection performance of the proposed PUEA detection method is analyzed. The simulation results show that the proposed PUEA detection method has good detection performance and can solve the PUEA problem in mobile scene.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN925
本文编号：2455465
[Abstract]:In order to meet the increasing demand of spectrum resources, cognitive radio technology is proposed to improve the utilization of authorized spectrum. By searching for spectrum holes, the slave user (Secondary User,SU) in cognitive radio network (Cognitive Radio Network,CRN) can access spectrum resources intelligently without interfering with the normal communication of primary user (Primary User,PU) network. However, the cognitive characteristics of CRN introduce new security problems, and the master user simulation attack (Primary User Emulation Attack,PUEA) is one of the typical attacks. In PUEA, an attacker imitates PU to send a signal, which makes SU mistakenly judge that the current spectrum has been occupied and cannot access the idle spectrum properly. In this paper, the PUEA detection technology of CRN in mobile scene is studied. In this paper, the PUEA problem in SU mobile scene is studied, and a hybrid PUEA detection method based on channel features is proposed. The method uses Doppler shift between transceivers and variance of received signal to judge the source of received signal. In the SU mobile scene, the Doppler shift between SU and (Primary User Emulator,PUE (simulation master user) may be different from that between SU and PU due to the difference of relative velocity. However, the relative position between SU and PUE may affect the performance of PUEA detection method based on channel Doppler frequency shift. In order to overcome this effect, we consider the received signal variance for PUEA detection. Simulation results show that the proposed PUEA detection method has good detection performance. At the same time, the test results of the experimental platform based on USRP verify the effectiveness of the proposed PUEA detection method. In this paper, we study the PUEA problem in which both PU,SU and PUE have mobility scenarios, and propose a PUEA detection method based on I / Q imbalance. The method takes into account that different direct frequency conversion transceivers have different I / Q imbalance, and this characteristic is independent of the motion state of the signal transceiver. Taking false alarm probability and detection probability as performance indexes, the detection performance of the proposed PUEA detection method is analyzed. The simulation results show that the proposed PUEA detection method has good detection performance and can solve the PUEA problem in mobile scene.
【学位授予单位】：浙江大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN925
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