MISO窃听系统中的恶意导频干扰检测

详细信息    查看全文 | 推荐本文 |

英文篇名：Detection of Malicious Pilot Contamination in MISO Eavesdropping Systems 作者：宁宏新 英文作者：NING Hongxin;Department of Science and Technology,Shiyuan College of Guangxi Teachers Education University; 关键词：多输入单输出(MISO)窃听系统 ; 物理层安全 ; 恶意导频干扰 ; 干扰检测 英文关键词：multi-input single-output(MISO) eavesdropping system;;physical layer security;;malicious pilot contamination;;jamming detection 中文刊名：DATE 英文刊名：Telecommunication Engineering 机构：广西师范学院师园学院理工系; 出版日期：2018-09-11 10:24 出版单位：电讯技术 年：2019 期：v.59;No.366 基金：2018年度广西高校中青年教师基础能力提升项目(2018ky0901) 语种：中文; 页：DATE201905017 页数：6 CN：05 ISSN：51-1267/TN 分类号：104-109

摘要

在一&个三节点多输入单输出(Multi-Input Single-Output,MISO)窃听系统中,当窃听方在信道估计阶段发送恶意导频信号来干扰信道估计时,合法通信的保密性受到严重威胁。针对该安全问题,提出了基于估计信道协方差和基于接收信干比两种恶意导频干扰检测方案。首先概述基于估计信道协方差的恶意导频干扰检测方案原理,推导该方案下检测概率和虚警概率的解析表达式;其次给出基于接收信干比的恶意导频干扰检测方案机制及其检测概率和虚警概率的具体表达式,并通过理论分析对比得出基于估计信道协方差的检测方案性能较优;最后通过数值仿真对比分析了两种方案的干扰检测性能。
        In a three-node multiple input single output( MISO) eavesdropping system,the malicious pilot contamination from the eavesdropper during the reverse training stage jams the channel estimation and threats the legitimate transmission.According to the problem,two detection schemes for malicious pilot contamination based on the estimated channel covariance and the received signal-to-interference ratio( SIR)are proposed.Firstly,the principle of the detection scheme based on estimated channel covariance is introduced,and the analytic expressions of detection probability and false alarm probability are derived. Then,the detection scheme based on the received SIR with its expression of detection probability and false alarm probability is further analyzed.It is concluded that the performance of the former scheme is better through theoretical analysis.Finally,the detection performance of the two schemes is compared by numerical simulations.

引文

[1] SANTOSH T,GAYAN A,RAFAEL S.Secure communication in spectrum-sharing massive MIMO systems with active eavesdropping[J]. IEEE Transactions on Cognitive Communications and Networking,2018,4(2):390-405.
    [2] VAHED F,BEHROUZ M,MOJTABA J.Jamming game for secure orthogonal frequency division multiplexing access systems[J]. IET Communications,2018,12(12):1498-1508.
    [3] HUANG Y,LI W,LEI J.Concatenated physical layer encryption scheme based on rateless codes[J].IET Communications,2018,12(12):1491-1497.
    [4] VINCENZO I,TANG Q,KAROL Z.Power of public-key function-private functional encryption[J]. IET Information Security,2018,12(4):248-256.
    [5]袁良凤,林胜斌.瑞利衰落信道下基于平均速率安全性能分析[J].电子技术应用,2017,43(6):106-109.
    [6]刘春国,李立忠.MIMO系统的物理层安全性[J].电讯技术,2015,55(7):725-729.
    [7]沈利华,林胜斌,黄开枝.恶意导频干扰对采用人工噪声方案系统的安全性能影响分析[J].电子学报,2017,45(3):650-655.
    [8]卓国锋,杜圣东,林胜斌.基于分段导频发送和人工噪声的物理层安全传输方案[J].电子技术应用,2017,43(1):129-132.
    [9] GOEL S,NEGI R. Guaranteeing secrecy using artifical noise[J]. IEEE Transactions on Wireless Communications,2008,7(6):2180-2189.
    [10] DU R,CARLO F.Power allocation for channel estimation and energy beamforming in wirelessly powered sensor networks[C]//Proceedings of IEEE International Conference on Communications Workshops. Kansas City:IEEE,2018:1-6.
    [11] ZHOU X G,MAHAM B. Pilot contamination for active eavesdropping[J]. IEEE Transactions on Wireless Communications,2012,11(3):903-907.
    [12] TIAN J J,LIANG Y C,KANG X.Eavesdropping via pilot relay attack[C]//Proceedings of IEEE/CIC International Conference on Communications in China. Qingdao:IEEE,2017:1-6.
    [13] KAPETANOVIC D,ZHENG G,WONG K. Detection of pilot contamination attack using random training and massive MIMO[C]//Proceedings of IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications.London:IEEE,2013:8-11.
    [14] JITENDRA T.Detection of active eavesdropping attack by spoofing relay in multiple antenna systems[J].IEEE Wireless Communications Letters,2016,5(5):460-463.
    [15] HUANG C W,CHANG T H,ZHOU X Y.Two-way training for discriminatory channel estimation in wireless MIMO systems[J]. IEEE Transactions on Signal Processing,2013,61(10):2724-2738.
    [16] AZZAM A.Physical layer security using massive multipleinput and multiple-output:passive and active eavesdroppers[J].IET Communications,2016,10(1):50-56.