Androjna et al. conducted an investigation into the falsification of Automatic Identification System (AIS) positions by tankers transporting Russian crude oil during closed ship-to-ship (STS) oil transfers. The identification of false positions was based on repeated discrepancies between AIS location suggestions and satellite radar imagery indications. Using data methods, the researchers reconstructed the true movements of certain tankers, revealing surprising behavior. The findings highlight the need for effective tools and strategies to ensure the reliability of AISs. The article emphasizes the changing maritime landscape over the past 18 months and underscores the importance of predictive analytics and artificial intelligence in addressing complex maritime risks. The researchers stress the necessity of planning, combining, and comparing data from various platforms, such as the ESA Oil-Trading Analytics Monitor (OTAM) and ship detection systems, to enhance the accuracy of ship position determination in future studies.
Publication Details
Title: AIS Data Manipulation in the Illicit Global Oil Trade
Authors: Andrej Androjna, Ivica Pavic, Lucjan Gucma, Peter Vidmar, Marko Perkovic
Year: 2024
Journal: Journal of Marine Science and Engineering
Publisher: MDPI
DOI: https://doi.org/10.3390/jmse12010006
License: https://creativecommons.org/licenses/by/4.0/
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