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  4. Cyber-attack impact estimation for a port
 
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Cyber-attack impact estimation for a port

Citation Link: https://doi.org/10.15480/882.2496
Publikationstyp
Conference Paper
Date Issued
2019-09-26
Sprache
English
Author(s)
König, Sandra  
Rass, Stefan  
Schauer, Stefan  
TORE-DOI
10.15480/882.2496
TORE-URI
http://hdl.handle.net/11420/3780
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL)  
Number in series
28
Start Page
163
End Page
183
Citation
Hamburg International Conference of Logistics (HICL) 28: 163-183 (2019)
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2019  
Publisher Link
https://www.epubli.de/shop/buch/Digital-Transformation-in-Maritime-and-City-Logistics-Christian-M-Ringle-Wolfgang-Kersten-Carlos-Jahn-9783750249493/92097
Publisher
epubli
Purpose: We investigate consequences of a cyber-attack on a port through a simulation model. Motivated by the impact of NotPetya on the container company A.P. Møller-Maersk and the entire supply chain we propose a method to estimate the consequences. Such estimation is a first step towards the identification of protection measures. Methodology: We represent a port as a network of interdependent cyber and physical assets. The operational state of each component is measured on a 3-tier scale and may change due to external problems. The components reaction on security incidents is modeled using Mealy automata. Findings: An implementation of the model as a network of coupled Mealy automata allows simulation of the dynamics after a security incident. This gives an overview on the expected condition of each component over time. The results can be visualized to identify parts that are particularly at danger. Originality: The approach takes into account different kind of information on the cyber and physical system but also learns from past incidents. The automata simulation model provides estimate on the future behavior. Existing data may be used for validation.
Subjects
Cyber-attack
Cascading effects
Port security
Supply chain
DDC Class
004: Informatik
330: Wirtschaft
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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