Identification of Cyber Security Risks in Subscription-based Business Models for Manufacturing Companies and Derivation of Suitable Measures

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dc.identifier.uri http://dx.doi.org/10.15488/11246
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/11333
dc.contributor.author Schuh, Günther
dc.contributor.author Stich, Volker
dc.contributor.author Hicking, Jan
dc.contributor.author Kaminski, Lars
dc.contributor.author Engländer, Jacques
dc.contributor.author Majchrzak, Anna
dc.contributor.editor Herberger, David
dc.contributor.editor Hübner, Marco
dc.date.accessioned 2021-08-19T08:32:16Z
dc.date.issued 2021
dc.identifier.citation Schuh, G.; Stich, V.; Hicking, J.; Kaminski, L.; Engländer, J. et al.: Identification of Cyber Security Risks in Subscription-based Business Models for Manufacturing Companies and Derivation of Suitable Measures. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics : CPSL 2021. Hannover : publish-Ing., 2021, S. 212-222. DOI: https://doi.org/10.15488/11246
dc.description.abstract In the age of digitalization, manufacturing companies are under increased pressure to change due to product complexity, growing customer requirements and digital business models. The increasing digitization of processes and products is opening up numerous opportunities for mechanical engineering companies to exploit the resulting potential for value creation. Subscription business is a new form of business model in the mechanical engineering industry, which aims to continuously increase customer benefit to align the interests of both companies and customers. Characterized by a permanent data exchange, databased learning about customer behavior, and the transfer into continuous innovations to increase customer value, subscription business helps to make Industry 4.0 profitable. The fact that machines and plants are connected to the internet and exchange large amounts of data results in critical information security risks. In addition, the loss of knowledge and control, data misuse and espionage, as well as the manipulation of transaction or production data in the context of subscription transactions are particularly high risks. Complementary to direct and obvious consequences such as loss of production, the attacks are increasingly shifting to nontransparent and creeping impairments of production or product quality, which are only apparent at a late stage, or the influencing of payment flows. A transparent presentation of possible risks and their scope, as well as their interrelationships, does not exist. This paper shows a research approach in which the structure of subscription models and their different manifestations based on their risks and vulnerabilities are characterized. This allows suitable cyber security measures to be taken at an early stage. From this basis, companies can secure existing or planned subscription business models and thus strengthen the trust of business partners and customers. eng
dc.language.iso eng
dc.publisher Hannover : publish-Ing.
dc.relation.ispartof https://doi.org/10.15488/11229
dc.relation.ispartof Proceedings of the Conference on Production Systems and Logistics : CPSL 2021
dc.rights CC BY 3.0 DE
dc.rights.uri https://creativecommons.org/licenses/by/3.0/de/
dc.subject Cyber Security eng
dc.subject Subscription Business eng
dc.subject Manufacturing Companies eng
dc.subject Digital Transformation eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau
dc.title Identification of Cyber Security Risks in Subscription-based Business Models for Manufacturing Companies and Derivation of Suitable Measures eng
dc.type bookPart
dc.type Text
dc.relation.essn 2701-6277
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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