Malicious AIS Spoofing and Abnormal Stealth Deviations: A Comprehensive Statistical Framework for Maritime Anomaly Detection

• Published in: IEEE transactions on aerospace and electronic systems Vol. 57; no. 4; pp. 2093 - 2108
• Main Authors: d'Afflisio, Enrica, Braca, Paolo, Willett, Peter
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Anomalies; Artificial intelligence; Automatic identification system (AIS); Collision avoidance; Data models; data spoofing; Deviation; Hypothesis testing; Likelihood ratio; maritime anomaly detection; maritime security; maritime situational awareness; Model testing; model-order selection (MOS); multiple statistical hypothesis test; Ornstein–Uhlenbeck (OU) process; Radar; Radar tracking; Spoofing; Surveillance; target tracking; Testing; Trajectory
• ISSN: 0018-9251; 1557-9603
• DOI: 10.1109/TAES.2021.3083466

The automatic identification system (AIS) is an essential and economical equipment for collision avoidance and maritime surveillance. However, AIS can be subject to intentional reporting of false information, or “spoofing”. This article assumes the vessel trajectory nominally follows a piecewise mea...