Abstract
Maritime Surveillance command and control (C2) systems play a crucial role in ensuring the marine traffic safety and maritime border security. Through efficient integration of various sources (UAV, aircrafts, GIS data) and legacy systems (e.g. AIS, Radar, VMS) a more complete situational awareness picture of the activities at sea can be accomplished. This enhanced knowledge can be used to improve the detection capabilities related to vessel anomaly behavior and increase the efficiency, coordination, and quality of operational activities against existed maritime threats. In this paper, we present the Forensics toolbox of the OCULUS Sea maritime surveillance C2 platform which offers vessel anomaly behavior detection functionalities such as (i) Gap in Reporting, (ii) Speed Change, (iii) Fake MMSI, (iv) Risk Incident, and (v) Collision Notification. The performance effectiveness of the Forensics toolbox has been successfully tested under real world scenarios while its further enhancement is a work in progress.
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Notes
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Oculus Sea is using NASA WorldWind maps. NASA WorldWind maps support layers for enriching map content. Oculus Sea has integrated open source WMS layers with capability to integrate more in the future based on availability. Furthermore, Oculus Sea integrates Bing layers for more detailed satellite imagery. Bing imagery is available for non-commercial use only; otherwise, in coordination with Microsoft, it may be available for commercial applications too.
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Acknowledgements
The work described in this paper is supported by the European research projects: (a) “CY-CISE: Cypriot information sharing environment towards an integrated national maritime surveillance awareness and enhancement of cross-sector and cross-border exchange of information,” Grant Agreement No. EASME/EMFF/2015/1.2.1.5/003/SI2.739382, funded under programme EASME/EMFF/2015/1.2.1.5 – “ICT interoperability improvements in Member States to enhance information sharing for maritime surveillance” of the European Commission; (b) “TRESSPASS: Robust Risk Based Screening and Alert System for Passengers and luggage,” Grant Agreement No. 787120, Call: H2020-SEC-2016-2017-2, and (c) “CIVILnEXt: Next generation of information systems to support EU external policies,” Grant Agreement No. 786886, Call: H2020-SEC-2016-2017-2.
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Thomopoulos, S.C.A., Rizogannis, C., Thanos, K.G., Dimitros, K., Panou, K., Zacharakis, D. (2019). OCULUS Sea™ Forensics: An Anomaly Detection Toolbox for Maritime Surveillance. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems Workshops. BIS 2019. Lecture Notes in Business Information Processing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-030-36691-9_41
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