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Assessing IT Availability Risks in Smart Factory Networks

Title data

Häckel, Björn ; Hänsch, Florian ; Hertel, Michael ; Übelhör, Jochen:
Assessing IT Availability Risks in Smart Factory Networks.
In: Business Research. (2018) . - pp. 1-36.
ISSN 2198-2627
DOI: https://doi.org/10.1007/s40685-018-0071-5

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Project information

Project title:
Project's official titleProject's id
Projektgruppe WI DigitalisierungNo information

Abstract in another language

Emerging smart manufacturing technologies combine physical production networks with digital IT systems, resulting in complex smart factory networks, which are especially vulnerable to IT security risks, such as IT component non-availabilities. Companies must employ extensive IT security measures to secure their production facilities. However, complex network structures and inherent dependencies of smart factory networks complicate corresponding investment decisions and in-crease the need for appropriate decision support. We develop a risk assessment model that supports companies in the investment decision-making process regarding IT security measures by identifying and evaluating the most critical areas of the information network while considering the underlying production network. For this purpose, IT availability risks are quantified by means of graph theory, matrix notation, and Value-at-Risk. Our model provides a structured approach, and considers network structures and interdependencies. The insights gained by our model present a profound economic basis for investment decisions on IT security measures. By applying our model in an exemplary real world setting, we analyze various IT security measures and their risk reduction effect.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: smart factory; risk assessment; IT availability risks; risk quantification; network structure analysis; investment decision support
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 16 Aug 2018 07:06
Last Modified: 29 Jul 2019 06:13
URI: https://eref.uni-bayreuth.de/id/eprint/45504