Konferenzbeitrag

Cyber-attack impact estimation for a port

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.

Language
Englisch

Bibliographic citation
10419/209197

Classification
Management
Subject
Cyber-attack
Cascading effects
Port security
Supply chain

Event
Geistige Schöpfung
(who)
König, Sandra
Rass, Stefan
Schauer, Stefan
Event
Veröffentlichung
(who)
epubli GmbH
(where)
Berlin
(when)
2019

DOI
doi:10.15480/882.2496
Handle
URN
urn:nbn:de:gbv:830-882.054849
Last update
10.03.2025, 11:41 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Konferenzbeitrag

Associated

  • König, Sandra
  • Rass, Stefan
  • Schauer, Stefan
  • epubli GmbH

Time of origin

  • 2019

Other Objects (12)