A DECISION SUPPORT MODEL FOR CYBERSECURITY RISK ASSESSMENT IN MARITIME TRANSPORTATION BASED ON SPHERICAL FUZZY INFORMATION

Authors : Veysel Tatar

Pages : 462-487

Doi:10.55071/ticaretfbd.1579978

View : 14 | Download : 0

Publication Date : 2024-12-27

Article Type : Research Paper

Abstract :The increasing technological innovations in the maritime industry, which plays an important role in the global supply chain, have the potential to introduce significant risks in terms of cyber threats. Therefore, this study proposes a cybersecurity risk assessment approach using spherical fuzzy (SF) set information based on the Fine-Kinney method to prioritize potential cyber threats/hazards for navigation systems in maritime transportation. The Fine-Kinney risk parameters (probability (P), exposure (E) and consequence (C)) are weighted using SF-based the LOgarithmic DEcomposition of Criteria Importance (LODECI) approach. The ranking of potential cybersecurity threats/hazards is evaluated using SF-based the Alternative Ranking Technique based on Adaptive Standardized Intervals (ARTASI), which provides more adaptability in managing the uncertainty present in expert assessments. The integration of these methodologies with the employment of SF sets results in the formulation of the proposed hybrid SF-LODECI-SF-ARTASI based on Fine-Kinney risk assessment model. Upon evaluation of the proposed model, it becomes evident that the most significant cyber threat/hazard that can impact the cyber security of critical systems on a ship is CYB1 \\\"Accessing the AIS network to obtain vessel position, speed and route information.\\\" In general, when the top five most important cybersecurity threats are analyzed, it is determined from the results that the most vulnerable systems to cyber threats/hazards are AIS, GPS and ECDIS, respectively. Finally, a comparative analysis is conducted using an alternative methodology to test the results of the model.
Keywords : Siber güvenlik, deniz taşımacılığı, risk değerlendirmesi, küresel bulanık kümeler, ARTASI

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