In a significant stride towards bolstering maritime security, researchers from the Maritime University of Szczecin have developed a novel method for early identification of vessels that may pose a threat to critical maritime infrastructure. The study, led by Miroslaw Wielgosz from the Department of Rescue and Risk Management, introduces a screening-based approach inspired by medical sciences, aiming to prevent damage or destruction to key infrastructure elements.
The method integrates real-time electronic surveillance with continuous data analysis from both national and international databases. It employs a multi-criteria decision analysis (MCDA) approach to process vessel data collected from various sources, including the Automatic Identification System (AIS). The AIS is a powerful tool that processes parameters such as a ship’s speed and course. This characteristic is used to select high-risk vessels for further monitoring. An initial classification of a vessel as suspicious does not constitute proof of criminal activity but rather serves as a trigger for further coordinated actions.
Wielgosz explained, “Our approach is akin to a medical screening process. We’re not diagnosing criminal activity outright, but rather identifying vessels that exhibit behaviors warranting further investigation.” The study presents sample results from surveillance and pre-selection analyses using the AIS, followed by a multi-criteria assessment of the behavior of vessels identified through this process. The results are presented both graphically and numerically.
The implications for the maritime industry are substantial. By enabling early identification of potentially threatening vessels, this method can enhance the security of critical maritime infrastructure, which is essential for the functioning of developed nations. This can lead to more efficient resource allocation, as authorities can focus their monitoring efforts on high-risk vessels, rather than conducting broad, resource-intensive surveillance.
Moreover, the method can facilitate international cooperation in maritime security. As Wielgosz noted, “Our system draws on data from both national and international databases. This not only enhances the accuracy of our assessments but also promotes collaboration among maritime authorities worldwide.” This can lead to more effective tracking of vessels across jurisdictions, ultimately contributing to global maritime security.
The study, published in the journal ‘Applied Sciences’ (translated from Polish as ‘Applied Sciences’), also opens up opportunities for technological advancements in the maritime sector. The integration of real-time surveillance with data analysis from multiple sources can drive the development of more sophisticated maritime monitoring systems. Furthermore, the use of MCDA in this context can inspire similar applications in other areas of maritime operations, such as route planning and risk assessment.
In conclusion, the method developed by Wielgosz and his team represents a significant step forward in maritime security. By enabling early identification of potentially threatening vessels, it can enhance the protection of critical maritime infrastructure, facilitate international cooperation, and drive technological advancements in the maritime sector. As the maritime industry continues to evolve, such innovative approaches will be crucial in addressing the complex security challenges it faces.