• Journal of Positioning, Navigation, and Timing
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• 제10권3호
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• pp.169-177
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• 2021

In this paper, we propose a novel global navigation satellite system (GNSS) spoofing detection technique through an array antenna-based direction of arrival (DoA) estimation of satellite and spoofer. Specifically, we consider a sophisticated GNSS spoofing attack scenario where the spoofer can accurately mimic the multiple pseudo-random number (PRN) signals since the spoofer has its own GNSS receiver and knows the location of the target receiver in advance. The target GNSS receiver precisely estimates the DoA of all PRN signals using compressed sensing-based orthogonal matching pursuit (OMP) even with a small number of samples, and it performs spoofing detection from the DoA estimation results of all PRN signals. In addition, considering the initial situation of a sophisticated spoofing attack scenario, we designed the algorithm to have high spoofing detection performance regardless of the relative spoofing signal power. Therefore, we do not consider the assumption in which the power of the spoofing signal is about 3 dB greater than that of the authentic signal. Then, we introduce design parameters to get high true detection probability and low false alarm probability in tandem by considering the condition for the presence of signal sources and the proximity of the DoA between authentic signals. Through computer simulations, we compare the DoA estimation performance between the conventional signal direction estimation method and the OMP algorithm in few samples. Finally, we show in the sophisticated spoofing attack scenario that the proposed spoofing detection technique using OMP-based estimated DoA of all PRN signals outperforms the conventional spoofing detection scheme in terms of true detection and false alarm probability.

• 제어로봇시스템학회논문지
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• 제21권3호
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• pp.283-289
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• 2015

In this paper, a GNSS interference detection algorithm based on an adaptive fading Kalman filter is proposed to detect a spoofing signal which is one of the threatening GNSS intentional interferences. To detect and mitigate the spoofing signal, the fading factor of the filter is used as a detection parameter. For simulation, the effect of the spoofing signal is modeled by the ramp type bias error of the pseudorange to emulate a smart spoofer and the change of the fading factor value according to ramp type bias error is quantitatively analyzed. In addition, the detection threshold is established to detect the spoofing signal by analyzing the change of the error covariance and the effect of spoofing is mitigated by controlling the Kalman gain of the filter. To verify the performance analysis of the proposed algorithm, various simulations are implemented. Through the results of simulations, we confirmed that the proposed algorithm works well.

• Journal of Positioning, Navigation, and Timing
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• 제9권3호
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• pp.215-220
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• 2020

This paper deal with estimating the direction of arrival (DOA) of GNSS signal using two antennae for spoofing detection. A technique for estimating the azimuth angle of a received signal by applying the interferometer method to the GPS carrier signal is proposed. The experiment assumes two antennas placed on the earth's surface and estimates the azimuth angle when only GPS signal are received without spoofing signal. The proposed method confirmed the availability through GPS satellite placement simulation and experiments using a dual antenna GPS receiver. In this case of using dual antenna, an azimuth angle ambiguity of the received signal occurs with respect to the baseline between two antennas. For this reason, the accurate azimuth angle estimation is limits, but it can be used for deception by cross-validating the ambiguity.

• 한국위성정보통신학회논문지
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• 제8권2호
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• pp.29-35
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• 2013

본 논문에서는 GPS L1 신호에 대한 기만의 종류 및 이를 검출하기 위한 방법에 대한 연구를 수행하고 GPS L1 신호에 대한 기만신호 검출 및 판단 알고리즘을 구현한 후 시뮬레이션을 통하여 성능을 분석하였다. 수신기의 동작 여부에 따라 기만과 재밍신호가 차이가 있으며 기만신호는 재밍신호와 달리 GPS 신호와 유사한 신호로 수신기를 공격하므로 기만 대상 수신기에서는 정상동작하는 것처럼 판단하게 되며 따라서 수신기에서 기만공격을 판단하기란 매우 어렵다. 기만신호 검출 및 판단 알고리즘의 성능을 검증하기 위하여 소프트웨어 기반의 기만신호/정상 GPS 신호생성기와 소프트웨어 기반의 수신기를 구현하였다. 본 논문에서 기만신호의 코드지연 및 도플러 주파수 변이에 따른 수신기의 DLL/PLL의 출력 오차를 확인하였다. 또한 수신기의 출력값인 의사거리, 신호세기, 항법해를 이용하여 기만신호 검출 및 판단 알고리즘을 구현하였으며 기만신호를 효율적으로 검출 및 판단할 수 있었다.

• 전기학회논문지
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• 제63권9호
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• pp.1273-1280
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• 2014

This paper considers a GPS anti-spoofing problem. Spoofing is an intentional interference that mislead the GNSS receiver. The spoofing attack is very significant since the target receiver is not aware of being attacked from spoofing. Accelerometers can be used to detect the spoofing signal by being compared with the acceleration obtained from GPS information using Kalman filter. In this paper we propose an N by N-point average and M-point window algorithm to detect GPS spoofing by using accelerometers and GPS outputs. The performance of the proposed algorithm is analyzed using actual vehicle trajectory and spoofing trajectory generated from INS and GPS toolbox for simulation.

• 한국항행학회논문지
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• 제20권5호
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• pp.394-400
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• 2016

GPS P(Y) 코드와 같은 암호화 항법 신호원은 재생이 불가능하므로 기만에 강건하다. 하지만 암호화 신호원을 이용하기 위해서는 위성항법시스템 운용국가로부터 허가를 얻어야 하고 이용에 있어서도 상당한 제약이 따른다. 본 논문에서는 고이득 지향성 안테나를 이용하는 지상 기준국과 일반 위성항법 사용자를 모의하였다. 지상 기준국은 특정 항법위성에 대한 고이득 신호로부터 해당 위성이 방송하는 암호화 신호 코드를 복조하였다. 복조된 암호화 신호코드는 사용자 수신기 모의 데이터의 이상여부를 판단하고, 기만여부를 판단할 수 있었다. 본 논문은 이와 같은 방식을 적용하는 기만검출 기법을 제안하고 GPS 시뮬레이터를 이용한 모의 분석 결과를 다룬다.

• Journal of Positioning, Navigation, and Timing
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• 제7권3호
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• pp.139-146
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• 2018

In recent years, a satellite navigation signal authentication technique has been introduced to determine the spoofing of commercial C/A code using the cross-correlation mode of GPS P(Y) code received at two receivers. This paper discusses the technical considerations in the implementation and application of authentication system simulator hardware to achieve the above technique. The configuration of the simulator consists of authentication system and user receiver. The synchronization of GPS signals received at two devices, data transmission and reception, and codeless correlation of P(Y) code were implemented. The simulation test result verified that spoofing detection using P(Y) codeless correlation could be achieved.