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A system dynamics case study of resilient response to IP theft from a cyber-attack

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Undesirable changes in supply chain physical operations derived from disruptions in the transmission or storage of digital information are reported daily despite the Information Technology (IT) protection available. Once a disruption materializes, the company losses will depend on the coherence and swiftness of the supply chain response (resilience). However, current resilience frameworks are qualitative, do not address evolution over time as a relevant aspect, and thus do not provide indications on how to design a resilient response. This paper contributes to closing this gap by developing a system dynamics model from an actual case of resilient response after a cyber-attack. Both case-specific and generic structures are extracted from the case data analysis, and a reaction mechanism is proposed that results in the observed behavior. The identification of these structures should eventually aid decision makers in the process of designing a resilient supply chain response.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Number of pages5
PublisherIEEE Computer Society Press
Publication date9 Feb 2018
Pages1291-1295
ISBN (Electronic)9781538609484
DOIs
Publication statusPublished - 9 Feb 2018
Externally publishedYes
Event2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore
Duration: 10 Dec 201713 Dec 2017

Conference

Conference2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
LandSingapore
BySingapore
Periode10/12/201713/12/2017
SeriesIEEE International Conference on Industrial Engineering and Engineering Management
Volume2017-December
ISSN2157-3611

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Event

2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017

10/12/201713/12/2017

Singapore, Singapore

Event: Conference

    Research areas

  • Cyber-risk, Resilience, System Dynamics

ID: 66421978