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Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas

Author

Listed:
  • Batu Şengül

    (Security Sciences Institute, Gendarmerie and Coast Guard Academy, Ankara 06830, Türkiye)

  • Fatih Yılmaz

    (Republic of Türkiye Ministry of Transport and Infrastructure, Ankara 06490, Türkiye)

  • Özkan Uğurlu

    (Faculty of Marine Science, Ordu University, Ordu 52200, Türkiye)

Abstract

In today’s world, wherein more than 80% of world trade is carried out by maritime routes, the safety and security of the seas where this trade takes place is of vast importance for nations and the international community. For this reason, ensuring the sustainable safety and security of the seas has become an integral part of the mission of all maritime-related entities. Using big data extracted from the seas and maritime activities into meaningful information with artificial intelligence applications and developing applications that can be used in maritime surveillance will be of great importance for augmenting maritime safety and security. In this article, data sources which can be used by a maritime surveillance system based on big data and artificial intelligence technologies and which can be established around sensitive sea areas and critical coastal facilities, are identified and a model proposal using this maritime big data is put forward.

Suggested Citation

  • Batu Şengül & Fatih Yılmaz & Özkan Uğurlu, 2023. "Safety–Security Analysis of Maritime Surveillance Systems in Critical Marine Areas," Sustainability, MDPI, vol. 15(23), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16381-:d:1289663
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    References listed on IDEAS

    as
    1. Selçuk K. İşleyen & Ukbe Uçar & Figen Balo, 2019. "A New Solution Approach for Maritime Surveillance Operation: The Case of Aegean Sea," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-16, July.
    2. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
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