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1. Detection and mitigation of pilot spoofing attack

   https://doi.org/10.1109/ACSSC.2017.8335643  

   Tugnait, Jitendra K. ( October 2017 , 2017 51st Asilomar Conference on Signals, Systems, and Computers)

   In a time-division duplex (TDD) multiple antenna system, the channel state information (CSI) can be estimated using reverse training. A pilot contamination (spoofing) attack occurs when during the training phase, an adversary (spoofer) also sends identical training (pilot) signal as that of the legitimate receiver. This contaminates channel estimation and alters the legitimate beamforming design, facilitating eavesdropping. A recent approach proposed superimposing a random sequence on the training sequence at the legitimate receiver and then using the minimum description length (MDL) criterion to detect pilot contamination attack. In this paper we augment this approach with joint estimation of both legitimate receiver and eavesdropper channels, and secure beamforming, to mitigate the effects of pilot spoofing. We consider two cases: (i) the spoofer transmits only the pilot signal, (ii) the spoofer also adds a random sequence to its pilot. The proposed mitigation approach is illustrated via simulations. 

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2. Mitigation of Pilot Spoofing Attack in Frequency Selective Channels

   https://doi.org/10.1109/ACSSC.2018.8645254  

   Tugnait, Jitendra K. ( October 2018 , 2018 52nd Asilomar Conference on Signals, Systems, and Computers)

   In a time-division duplex (TDD) multiple antenna system, the channel state information (CSI) can be estimated using reverse training. A pilot contamination (spoofing) attack occurs when during the training phase, an adversary also sends identical training (pilot) signal as that of the legitimate receiver. This contaminates channel estimation and alters the legitimate beamforming design, facilitating eavesdropping. Most of past approaches to pilot spoofing detection are limited to flat fading channels. A recent approach proposed superimposing a random sequence on the training sequence at the legitimate receiver for detection of pilot spoofing attack over frequency selective channels, with unknown channels and channel lengths, except that an upper bound on the number of channel taps is assumed to be known. In this paper we augment this approach with joint estimation of both legitimate receiver and eavesdropper channels, and secure time-reversal precoding, to mitigate the effects of pilot spoofing. The proposed mitigation approach is illustrated via simulations. 

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3. Detection of Pilot Spoofing Attack Over Frequency Selective Channels

   https://doi.org/10.1109/SSP.2018.8450703  

   Tugnait, Jitendra K. ( June 2018 , 2018 IEEE Statistical Signal Processing Workshop (SSP))

   In a time-division duplex (TDD) multiple antenna system, the channel state information (CSI) can be estimated using reverse training. A pilot contamination (spoofing) attack occurs when during the training phase, an adversary also sends identical training (pilot) signal as that of the legitimate receiver. This contaminates channel estimation and alters the legitimate precoder/beamformimg design, facilitating eavesdropping. Past approaches to pilot spoofing detection are limited to flat fading channels. In this paper we propose a novel approach for detection of pilot spoofing attack over frequency selective channels, with unknown channels and channel lengths, except that an upperbound on the number of channel taps is assumed to be known. The proposed approach is illustrated by numerical examples and they show the efficacy of the proposed approach. A method to estimate Bob's channel regardless of the spoofing attack, is also presented and illustrated via simulations. 

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4. On Mitigation of Active Eavesdropping Attack by Spoofing Relay

   Tugnait, Jitendra K ( June 2017 , 2017 IEEE 85th Vehicular Technology Conference: VTC2017-Spring)

   We consider detection of spoofing relay attack in time-division duplex (TDD) multiple antenna systems where an adversary operating in a full-duplex mode, amplifies and forwards the training signal of the legitimate receiver. In TDD systems, the channel state information (CSI) can be acquired using reverse training. The spoofing relay attack contaminates the channel estimation phase. Consequently the beamformer designed using the contaminated channel estimate can lead to a significant information leakage to the attacking adversary. A recent approach proposed using the minimum description length (MDL) criterion to detect spoofing relay attack. In this paper we augment this approach with joint channel estimation and secure beamforming to mitigate the effects of pilot contamination by spoofing relay. The proposed mitigation approach is illustrated via simulations. 

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5. Detection and Identification of Spoofed Pilots in TDD/SDMA Systems

   https://doi.org/10.1109/LWC.2017.2715814  

   Tugnait, Jitendra K. ( June 2017 , IEEE Wireless Communications Letters)

   In a time-division duplex (TDD) multiple antenna system, the channel state information (CSI) can be estimated using reverse training. A pilot spoofing attack occurs when during the training phase, an adversary (spoofer) also sends identical training (pilot) signal as that of the legitimate receiver. This contaminates channel estimation and alters the legitimate precoder design, facilitating eavesdropping. A recent approach proposed superimposing a random sequence on the training sequence at the legitimate receivers, and then using the minimum description length (MDL) criterion to detect pilot spoofing attack via source enumeration. In this letter, we extend this approach by exploiting temporal subspace properties of the pilot signals in conjunction with the MDL criterion, to determine which pilots are contaminated by a spoofer, and which ones are free of spoofing attack. The identification performance is illustrated via simulations. 

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