移動場景下主用戶仿真攻擊檢測方法研究
發(fā)布時間:2019-04-09 19:20
【摘要】:為了滿足不斷增長頻譜資源需求,人們提出了認(rèn)知無線電技術(shù)提高授權(quán)頻譜的利用率。通過搜索頻譜空洞,認(rèn)知無線電網(wǎng)絡(luò)(Cognitive Radio Network,CRN)中的從用戶(Secondary User,SU)可在不干擾主用戶(Primary User,PU)網(wǎng)絡(luò)正常通信的情況下智能地接入頻譜資源。然而,CRN的認(rèn)知特性引入了新的安全問題,主用戶仿真攻擊(Primary User Emulation Attack,PUEA)是其中一種典型攻擊。在PUEA中,攻擊者模仿PU發(fā)送信號,使SU錯誤判斷當(dāng)前頻譜已被占用而無法正常接入空閑頻譜。論文研究移動場景下CRN的PUEA檢測技術(shù)。研究SU移動場景下的PUEA問題,提出一種基于信道特征的PUEA混合檢測方法。該方法使用信號收發(fā)機間多普勒頻移與接收信號方差判斷接收信號的來源。在SU移動場景下,因相對速度不同,SU與仿真主用戶(Primary User Emulator,PUE)之間的多普勒頻移可能和SU與PU之間的多普勒頻移不同。但SU與PUE之間的相對位置可能會影響基于信道多普勒頻移PUEA檢測方法的性能。為了克服這種影響,我們綜合考慮了接收信號方差用于PUEA檢測。仿真結(jié)果表明所提出的PUEA檢測方法具有良好的檢測性能。同時,基于USRP的實驗平臺測試結(jié)果驗證了所提出的PUEA檢測方法的有效性。研究PU、SU與PUE均具有移動性場景下的PUEA問題,提出一種基于I/Q不平衡的PUEA檢測方法。該方法考慮到不同直接變頻收發(fā)機具有不同的I/Q不平衡,且該特征與信號收發(fā)機的運動狀態(tài)無關(guān)。以虛警概率和檢測概率為性能指標(biāo),分析了所提出的PUEA檢測方法的檢測性能。仿真結(jié)果表明所提出的PUEA檢測方法具有良好的檢測性能,可解決移動場景下的PUEA問題。
[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.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN925
本文編號: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.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TN925
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,本文編號:2455465
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