Situation Awareness
Wednesday 10th November 2010, 1400hrs–1530hrs
Chaired by William Miceli AIS Analysis in Support of Counter-Piracy Operations Mr. Mark Hallett, Defence Science and Technology Organisation (DSTO), Australia Analysis of AIS data is a key tool in Maritime Domain Awareness. Australia’s Defence Science and Technology Organisation has explored its utility in supporting counter-piracy operations through using it to analyse shipping traffic in the Somali Basin and Gulf of Aden. Using properly databased unclassified AIS data, the densities of shipping traffic in the Gulf of Aden, the “Internationally Recommended Transit Corridor” (IRTC) and regions in the Indian Ocean were determined, as well as additional supporting data such as speed distributions of merchant vessels in those areas. Analysis of AIS data throughout 2009 showed marked changes in shipping traffic in response to piracy incidents near the Somali Coast. It was also possible to isolate and recreate piracy incidents through AIS signals – a hijacked vessel could often be “seen” changing course and heading towards the Somali coast. Three examples of novel AIS analysis conducted during this study will be described, including the use of a phonetic algorithm to analyse the destinations of merchant vessels, the recognition of merchant ship convoys transiting the IRTC, and determining the probability of a pirate encountering a merchant vessel by chance. Improved Maritime Situation Awareness by Fusing Sensor Information with Intelligence Dr. Albertus van den Broek, TNO Defence, Security & Safety, Netherlands Bert van den Broek; Klaas Deves; Erik van Halsema; Martijn Neef; Arthur Smith. TNO Defence, Security & Safety, The Netherlands In present-day military security operations threats are more difficult to reveal than in conventional warfare theatres, since they take place during the course of normal life. For example, during maritime missions in littoral environments, acts of piracy, drug trafficking and other threatening events become obscured in the crowd of everyday fisheries, cargo traders, ferries and pleasure cruises. By improving the situation awareness threats can be detected more timely and in more detail. We aim to improve situation awareness and threat detection capabilities in maritime scenarios by combining sensor-based information with context information and intelligence from various sources. We use data from radars and electronic warfare sensors on maritime, land-based, airborne and satellite platforms to construct our base operational picture. We enhance this picture by adding intelligence data from AIS sources and from the Lloyds register, and from other sources, such as human observations, open internet databases and past events. Threats can be expressed in patterns of indicators. These indicators are not always directly detectable, but their existence may be revealed by observables: events that are measurable, and that indirectly reveal a threat indicator. For example: the observation that a cargo ship deviates from its planned path may hint a piracy attack. We employ various information analysis and pattern recognition techniques to aggregate the available information into observables and correlate them to threat indicators for automatically producing threat alerts. We will demonstrate our concept through a realistic operational maritime scenario.
MAST timetable
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Diamond Industry Patron
The conference was globally good.
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Bernard Garnier
Technical Director Operations, Thales Underwater Systems, France
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