Title
Maritime Anomaly Detection of Malicious Data Spoofing and Stealth Deviations from Nominal Route Exploiting Heterogeneous Sources of Information
Abstract
Based on a proper stochastic formulation of the vessel dynamic, exploiting piecewise Ornstein-Uhlenbeck (OU) mean-reverting processes, we propose an effective anomaly detection procedure to jointly reveal Automatic Identification System (AIS) data spoofing and/or surreptitious deviations from the planned route. Supported by reliable information from monitoring systems (coastal radars and spaceborn...
Year
Venue
Keywords
2021
2021 IEEE 24th International Conference on Information Fusion (FUSION)
Spaceborne radar,Radar detection,Stochastic processes,Sea measurements,Radar tracking,Sensor systems,Sensors
DocType
ISBN
Citations 
Conference
978-1-7377497-1-4
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Enrica d’Afflisio100.34
Paolo Braca210.69
Luigi Chisci300.34
Giorgio Battistelli400.34
Peter Willett500.34