International Global Navigation Satellite Systems Association
IGNSS Conference 2018
Colombo Theatres, Kensington Campus, UNSW Australia
7 – 9 February 2018
Performance assessment of multi-metric joint
detection technique for anti-spoofing
Chao Sun
ACSER/UNSW/Australia; Beihang University/China
sunchao@buaa.edu.cn
Joon Wayn Cheong
ACSER/UNSW/Australia
cjwayn@unsw.edu.au
Andrew Dempster
ACSER/UNSW/Australia
a.dempster@unsw.edu.au
Laure Demicheli
ACSER/UNSW/Australia
laure.demicheli@hotmail.fr
Ediz Cetin
Macquarie University/Australia
ediz.cetin@mq.edu.au
Hongbo Zhao
Beihang University/China
bhzhb@buaa.edu.cn
ABSTRACT
Spoofing, identified as a special and efficient interference attack method, has
become one of the most hazardous threats for the security and integrity of
global navigation satellite system (GNSS), especially for the safety critical
applications such as maritime and aviation. Signal Quality Monitoring (SQM)
techniques, because of its low complexity and no need for adding extra
antennas, are recently found to be a feasible countermeasure against
spoofing attacks. Various SQM metrics have been developed and evaluated
for this purpose. However, due to the extremely low signal to noise ratio of
the GNSS signal, detection methods just using single metric suffer from high
false alarm probability, which limits the practical application of SQM-based
anti-spoofing techniques. This paper investigated how to combine various
SQM metrics together to achieve joint detection against a sneak spoofing
attack. The so called “OR” and “AND” combination strategies are proposed,
and the analysis of detection probability and false alarm probability are
given. The anti-spoofing ability of the joint detection method has been
validated using the Texas Spoofing Test Battery (TEXBAT) dataset. The
results show that multi-metric joint detection technique using “OR”
combination strategy is advantageous in the detection of spoofing attacks.
KEYWORDS: Spoofing detection, signal quality monitoring (SQM), multi-
metric, joint detection
