Detection of Pilot Contamination Attack based on Uncoordinated Frequency Shifts
Detection of Pilot Contamination Attack based on Uncoordinated Frequency Shifts
复制标题
基于不协调频移的导频污染攻击检测
DOI：
10.1109/tcomm.2018.2791535
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发表时间：
2018-06
影响因子：
8.3
通讯作者：
Ruonan Zhang
中科院分区：
文献类型：
--
作者：
Weile Zhang;Hai Lin;Ruonan Zhang
导频污染攻击是恶意用户在信道训练阶段进行的一种重要的主动窃听活动。这种攻击对物理层安全具有潜在的危害。针对频率不同步可能导致目标用户和攻击者之间的导频信号发散这一事实，提出了一种新的检测多天线系统中导频污染攻击的非协调频移(UFS)方案。在UFS方案的反向训练阶段期间，合法用户Bob故意在公知的导频序列中引入多个随机频移。由于窃听者伊芙不知道这些随机的频率变化，她几乎不可能假装完全像鲍勃。这为检测Eve的存在提供了机会。在此基础上，提出了一种基于源枚举法的攻击检测算法。给出了渐近性能分析和数值结果，验证了所提检测方案的有效性。该方案还基于噪声功率估计进行了改进，以应对来自多天线EVE的攻击。此外，通过引入一般的参数化相移，对所提出的UFS方案进行了扩展。结果表明，在不牺牲合法信道估计性能的情况下，所提出的UFS方案可以获得与现有的基于叠加随机序列的方案相当的检测性能。
Pilot contamination attack is an important activity of active eavesdropping conducted by a malicious user during channel training phase. This attack is potentially harmful to the physical layer security. In this paper, motivated by the fact that frequency asynchronism could introduce divergence of the transmitted pilot signals between intended user and attacker, we propose a new uncoordinated frequency shift (UFS) scheme for detecting pilot contamination attack in multiple antenna system. During the reverse training phase of the UFS scheme, the legitimate user Bob deliberately introduces multiple random frequency shifts in the publicly known pilot sequence. Since eavesdropper Eve has no knowledge of these random frequency shifts, it is almost impossible for her to pretend exactly like Bob. This provides the opportunity to detect the presence of Eve. An attack detection algorithm is then developed based on source enumeration method. Both the asymptotic performance analysis and numerical results are provided to verify the proposed detection scheme. The proposed scheme is also enhanced based on noise power estimation to cope with attacks from a multi-antenna Eve. Furthermore, the proposed UFS scheme is extended by introducing general parameterized phase shifts. It is demonstrated that the proposed UFS scheme can achieve comparable detection performance as the existing superimposed random sequence based scheme, without sacrifice of legitimate channel estimation performance.
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影响因子：
3.9
作者：
Xie, Hongxiang;Gao, Feifei;Jin, Shi
通讯作者：
Jin, Shi
MIMO系统中判别性信道估计的半盲双向训练方法
影响因子：
8.3
作者：
Yang Junjie;Xie Shengli;Zhou Xiangyun;Yu Rong;Zhang Yan
通讯作者：
Zhang Yan
DOI：
10.1109/ictc.2016.7763557
发表时间：
2016-10
期刊：
2016 International Conference on Information and Communication Technology Convergence (ICTC)
影响因子：
--
作者：
Junguk Park;Sangseok Yun;J. Ha
通讯作者：
Junguk Park;Sangseok Yun;J. Ha
影响因子：
5.4
作者：
Weile Zhang;Qinye Yin
通讯作者：
Weile Zhang;Qinye Yin
DOI：
10.1109/26.870025
发表时间：
2000-09
期刊：
IEEE Trans. Commun.
影响因子：
--
作者：
M. Morelli;U. Mengali
通讯作者：
M. Morelli;U. Mengali