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

Veysel Tatar

Makale detayları

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

Yazarlar:

Veysel Tatar

Yayıncı:

Istanbul Ticaret University

Ana Başlıklar:

Çok Ölçütlü Karar Verme

Dergi:

İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi Vol.23 Issue 46, pp.462-487

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001335713

pISSN:

1305-7820

Anahtar kelimeler:

Özet:

 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 threatshazards 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 threatshazards 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 threathazard 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 threatshazards are AIS, GPS and ECDIS, respectively. Finally, a comparative analysis is conducted using an alternative methodology to test the results of the model.

 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 threatshazards 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 threatshazards 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 threathazard 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 threatshazards are AIS, GPS and ECDIS, respectively. Finally, a comparative analysis is conducted using an alternative methodology to test the results of the model.

 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 threatshazards 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 threatshazards 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 threathazard 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 threatshazards are AIS, GPS and ECDIS, respectively. Finally, a comparative analysis is conducted using an alternative methodology to test the results of the model.

 Küresel tedarik zincirinde önemli bir rol oynayan denizcilik sektöründeki artan teknolojik yenilikler, siber tehditler açısından önemli riskler getirme potansiyeline sahiptir. Bu nedenle, bu çalışma, deniz taşımacılığındaki navigasyon sistemleri için olası siber tehditleritehlikeleri önceliklendirmek için Fine-Kinney yöntemine dayalı küresel bulanık SF küme bilgilerini kullanan bir siber güvenlik risk değerlendirme yaklaşımı önermektedir. Fine-Kinney risk parametreleri olasılık P, maruz kalma E ve sonuç C, SF tabanlı Kriter Öneminin Logaritmik Ayrıştırılması LODECI yaklaşımı kullanılarak ağırlıklandırılır. Olası siber güvenlik tehditlerinintehlikelerinin sıralaması, uzman değerlendirmelerinde mevcut olan belirsizliği yönetmede daha fazla uyarlanabilirlik sağlayan SF tabanlı Adaptif Standartlaştırılmış Aralıklara Dayalı Alternatif Sıralama Tekniği ARTASI kullanılarak değerlendirilir. Bu metodolojilerin SF setlerinin kullanımı ile entegrasyonu, Fine-Kinney risk değerlendirme modeline dayalı olarak önerilen hibrit SF-LODECI-SF-ARTASI modelinin formüle edilmesiyle sonuçlanmıştır. Önerilen model değerlendirildiğinde, bir gemideki kritik sistemlerin siber güvenliğini etkileyebilecek en önemli siber tehdittehlikenin CYB1 Gemi konumu, hızı ve rota bilgilerini elde etmek için AIS ağına erişim olduğu ortaya çıkmaktadır. Genel olarak, en önemli beş siber güvenlik tehdidi analiz edildiğinde, sonuçlardan siber tehditleretehlikelere karşı en savunmasız sistemlerin sırasıyla AIS, GPS ve ECDIS olduğu tespit edilmektedir. Son olarak, modelin sonuçlarını test etmek için alternatif bir metodoloji kullanılarak karşılaştırmalı bir analiz gerçekleştirilmiştir.

Makale detayları

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

Yazarlar:

Veysel Tatar

Yayıncı:

Istanbul Ticaret University

Ana Başlıklar:

Çok Ölçütlü Karar Verme

Dergi:

İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi Vol.23 Issue 46, pp.462-487

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001335713

pISSN:

1305-7820

Cybersecurity

maritime transportation

risk assessment

spherical fuzzy sets

ARTASISiber güvenlik

deniz taşımacılığı

risk değerlendirmesi

küresel bulanık kümeler

ARTASI

Sayı

Makale detayları

Yazarlar: Veysel Tatar

Yayıncı: Istanbul Ticaret University

Ana Başlıklar: Çok Ölçütlü Karar Verme

Dergi: İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi Vol.23 Issue 46, pp.462-487

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001335713

pISSN: 1305-7820

Sayı

Yazarlar:

Veysel Tatar

Yayıncı:

Istanbul Ticaret University

Ana Başlıklar:

Çok Ölçütlü Karar Verme

Dergi:

İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi Vol.23 Issue 46, pp.462-487

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001335713

pISSN:

1305-7820