Detection and Identification of GNSS Spoofing Cyber-Attacks for Naval Marine Vessels

Abstract

Considering that global navigation satellite systems (GNSS) are pervasive in modern naval marine vessels, cyber threats, namely GNSS spoofing and GNSS jamming cyber-attacks on these modern navigation systems are investigated in this work. Specifically, the problem of detection and identification of GNSS spoofing cyber-attacks in naval marine vessels are addressed. We utilize the Interacting Multiple Model Unscented Kalman Filter (IMM-UKF) methodology and IMU sensors on a given naval vessel to detect and identify GNSS spoofing cyber-attacks. Our proposed IMM-UKF methodology is capable of identifying different types and modes of the spoofing cyber-attacks. The proposed methodology also provides one with an estimation on severity of the performed GNSS spoofing cyber-attack.