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Statistical analysis of spoofing detection based on TDOA
Author(s) -
Zhang Zhenjun,
Zhan Xingqun
Publication year - 2018
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22637
Subject(s) - spoofing attack , gnss applications , computer science , multilateration , false alarm , vulnerability (computing) , real time computing , constant false alarm rate , satellite system , computer security , global positioning system , artificial intelligence , telecommunications , engineering , structural engineering , node (physics)
Recently, the vulnerability of a global navigation satellite system (GNSS) to spoofing has become more serious. This paper proposes a low‐cost time difference of arrival estimation (TDOAE)‐based spoofing detection system consisting of two individual receivers. The system could be easily deployed and implemented for anti‐spoofing and further research purposes as it is software‐defined and does not require additional hardware support. The TDOAE of a GNSS signal is mathematically formulated and is used for spoofing detection. As shown, in spoofed cases, the TDOAEs of spoofing signals are identical as spoofing signals are transmitted from a common spoofer. By contrast, the TDOAEs of authentic signals are various as they are from various directions. The hypothesis test is proposed based on such a difference in TDOAE. Simulation and real‐data experiments validate the effectiveness of the spoofing detection technique, with 99.99% detection and <0.001% false alarm probabilities. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.