The development of Risk Analysis tools to discover illegal containerized transportations is advantageous for both anti-fraud and supply-chain security. In this paper we present the Anomalous Container Itinerary Detection system developed at JRC as part of an in-house global route-based risk analysis facility for maritime containers monitoring. The system adopts a flexible and modular design and applies an SVM one-class classifier to detect anomalous container itineraries. The preliminary experimental evaluation demonstrates that the analysis module
may be set to detect efficiently the expected number of suspicious itineraries, which can be further analyzed by Customs authorities
thanks to the web-based visualization tool provided with the system.
CAMOSSI Elena;
DIMITROVA Tatyana;
TSOIS Aris;
2013-01-21
IEEE Computer Society
JRC70537
978-0-7695-4782-4,
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298816,
https://publications.jrc.ec.europa.eu/repository/handle/JRC70537,
10.1109/EISIC.2012.39,
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