Day 2, April 15 - Posters
Behavioral model anomaly detection in Automatic Identification Systems (AIS)
Start Date
15-4-2020 9:00 AM
End Date
15-4-2020 11:00 AM
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
We apply machine learning to build behavior models for vessels at sea. These models allow vessels to detect anomalous communication from vessels nearby to identify-malicious vessels.
Date
April 2020
Document Type
posters
Language
English
Rights
http://rightsstatement.org/vocab/InC/1.0/
Recommended Citation
Coleman, Jacob, "Behavioral model anomaly detection in Automatic Identification Systems (AIS)". ReSEARCH Dialogues Conference proceedings. https://scholar.utc.edu/research-dialogues/2020/day2_posters/1.
Behavioral model anomaly detection in Automatic Identification Systems (AIS)
We apply machine learning to build behavior models for vessels at sea. These models allow vessels to detect anomalous communication from vessels nearby to identify-malicious vessels.