Document Type

Conference Paper

Publication Date

2021

DOI

10.46354/i3m.2021.hms.006

Publication Title

Proceedings of the 23rd International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation (HMS 2021)

Pages

45-52

Abstract

Technological advances such as cyber physical systems and autonomous vehicles combined with increased disruptions including the Covid-19 pandemic and coastal natural disasters have heightened the importance of port risk analysis methodologies and frameworks that can accurately quantify and optimize resilience. This work presents the conceptual development of a novel combination of analysis methodologies linking a probabilistic graphic approach on a network of risk events with a functional dependency approach on a system network. Key advantages of these two methodologies are the ability to model and learn causal interactions rather than simply correlations and a high level of computational efficiency. This combination of robustness and flexibility offers the ability to quickly analyze multiple port configurations in order to invest in efforts that maximize the resilience-cost ratio. In addition, the methodology opens the door for real-time anomaly detection and causal analysis in order to enhance efforts in the protecting against attacks on infrastructure and in particular cyber physical systems.

Rights

© 2021 The Authors.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-Noncommercial-Noderivatives 4.0 International (CC BY-NC-ND 4.0) license.

Original Publication Citation

Smith K., Diaz R., Shen Y., Longo F. (2021). Conceptual development of a probabilistic graphical framework for assessing port resilience. Proceedings of the 23rd International Conference on Harbor, Maritime and Multimodal Logistic Modeling & Simulation(HMS 2021), pp. 45-52. DOI:https://doi.org/10.46354/i3m.2021.hms.006

ORCID

0000-0002-8637-5967 (Diaz)

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