
Ocean Engineering, Journal Year: 2024, Volume and Issue: 315, P. 119842 - 119842
Published: Nov. 23, 2024
Language: Английский
Ocean Engineering, Journal Year: 2024, Volume and Issue: 315, P. 119842 - 119842
Published: Nov. 23, 2024
Language: Английский
Ocean Engineering, Journal Year: 2024, Volume and Issue: 312, P. 119078 - 119078
Published: Aug. 29, 2024
The distinctive features of maritime infrastructures present significant challenges in terms security.Disruptions to the normal functioning any part transportation can have wide-ranging consequences at both national and international levels, making it an attractive target for malicious attacks.Within this context, integration digitalization technological advancements seaports, vessels other elements exposes them cyber threats.In response critical challenge, paper aims formulate a novel cybersecurity risk analysis method ensuring security.This approach is based on data-driven Bayesian network, utilizing recorded incidents spanning past two decades.The findings contribute identification highly contributing factors, meticulous examination their nature, revelation interdependencies, estimation probabilities occurrence.Rigorous validation developed model ensures its robustness diagnostic prognostic purposes.The implications drawn from study offer valuable insights stakeholders governmental bodies, enhancing understanding how address threats affecting industry.This knowledge aids implementation necessary preventive measures.
Language: Английский
Citations
9Journal of Hydrologic Engineering, Journal Year: 2025, Volume and Issue: 30(4)
Published: April 18, 2025
Language: Английский
Citations
0Ocean Engineering, Journal Year: 2025, Volume and Issue: 332, P. 121410 - 121410
Published: May 9, 2025
Language: Английский
Citations
0Ocean Engineering, Journal Year: 2024, Volume and Issue: 315, P. 119842 - 119842
Published: Nov. 23, 2024
Language: Английский
Citations
1