TY - GEN
T1 - Clock Drift Monitoring to Discriminate GNSS Signal after Prolonged Signal Loss
AU - Hernan, Jose Manuel Rubio
AU - Gentner, Christian
AU - Picois, Alexandre Vervisch
AU - Samama, Nel
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - Global Navigation Satellite Systems (GNSS) are increasingly being threatened for military reasons, strategic purposes, or simply because of advances in consumer technology by individuals who seek to disrupt the system for entertainment. Attacks on these systems have existed since the first satellite navigation system, GPS, was implemented. Among the possible attacks, the spoofing attack is one of the most harmful and easiest to execute. The literature contains numerous approaches to detecting this type of attack. There are also many papers explaining the different possible attacks in detail. However, devices such as smartphones, which are frequently used for positioning services, verify the integrity of the GNSS signal using external data sources, such as the network data to which the phone is connected. If this network becomes unstable or the smartphone disconnects for a while, the GNSS system becomes vulnerable to certain integrity attacks. For this reason, we analyze the possibility of network connection loss and examine one specific use case, how the clock drift method, a well-studied method in the literature, can differentiate between a legitimate and a falsified signal after a prolonged signal loss, all using exclusively GNSS data retrieved from the smartphone, more specifically Android OS.
AB - Global Navigation Satellite Systems (GNSS) are increasingly being threatened for military reasons, strategic purposes, or simply because of advances in consumer technology by individuals who seek to disrupt the system for entertainment. Attacks on these systems have existed since the first satellite navigation system, GPS, was implemented. Among the possible attacks, the spoofing attack is one of the most harmful and easiest to execute. The literature contains numerous approaches to detecting this type of attack. There are also many papers explaining the different possible attacks in detail. However, devices such as smartphones, which are frequently used for positioning services, verify the integrity of the GNSS signal using external data sources, such as the network data to which the phone is connected. If this network becomes unstable or the smartphone disconnects for a while, the GNSS system becomes vulnerable to certain integrity attacks. For this reason, we analyze the possibility of network connection loss and examine one specific use case, how the clock drift method, a well-studied method in the literature, can differentiate between a legitimate and a falsified signal after a prolonged signal loss, all using exclusively GNSS data retrieved from the smartphone, more specifically Android OS.
KW - Clock Bias
KW - Clock Drift
KW - GNSS
KW - Spoofing
UR - https://www.scopus.com/pages/publications/105009213004
U2 - 10.1109/PLANS61210.2025.11028211
DO - 10.1109/PLANS61210.2025.11028211
M3 - Conference contribution
AN - SCOPUS:105009213004
T3 - 2025 IEEE/ION Position, Location and Navigation Symposium, PLANS 2025
SP - 1521
EP - 1526
BT - 2025 IEEE/ION Position, Location and Navigation Symposium, PLANS 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE/ION Position, Location and Navigation Symposium, PLANS 2025
Y2 - 28 April 2025 through 1 May 2025
ER -