On Pilot Spoofing Attack in Massive MIMO Systems: Detection and Countermeasure

被引:0
|
作者
Xu, Weiyang [1 ,2 ]
Yuan, Chang [1 ]
Xu, Shengbo [1 ]
Ngo, Hien Quoc [3 ]
Xiang, Wei [4 ]
机构
[1] Chongqing Univ, Sch Microelect & Commun Engn, Chongqing 400044, Peoples R China
[2] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
[3] Queens Univ Belfast, Inst Elect Commun & Informat Technol ECIT, Belfast BT3 9DT, Antrim, North Ireland
[4] La Trobe Univ, Sch Engn & Math Sci, Bundoora, Vic 3086, Australia
关键词
Channel estimation; Eavesdropping; Jamming; Receivers; Training; Antennas; Uplink; Massive MIMO; physical layer security; channel estimation; pilot spoofing attack; secrecy rate; PHYSICAL LAYER SECURITY; WIRELESS; COMMUNICATION;
D O I
10.1109/TIFS.2020.3036805
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Massive MIMO systems are vulnerable to pilot spoofing attacks (PSAs) since the estimated channel state information can be contaminated by the eavesdropping link, thus incurring severe information leakage in downlink transmission. To safeguard legitimate communications, this paper proposes a PSA detection method which relies on pilot manipulation. Specifically, users randomly partition pilot sequences into two parts, where the first part remains unchanged and the second one is multiplied with a diagonal matrix. Although a malicious node may follow the same way to send pilots, this makes it more likely to be detected. According to the principle of the likelihood-ratio test, the proposed detector is designed based on a decision metric that does not include the legitimate channel. This feature differentiates our scheme from existing ones and remarkably improves the detection accuracy. Besides, the possibility of performance enhancement by joint detection is discussed. Furthermore, based on pilot manipulation, a jamming-resistant receiver is designed. The key of this receiver is a new channel estimator that is robust to the PSA. Finally, extensive simulations are carried out to validate our proposed algorithms.
引用
收藏
页码:1396 / 1409
页数:14
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