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Keywords
- Data security (1)
- Industrie 4.0 (1)
- Internet of Things (1)
Following the recent Internet of Things-induced
trends on digitization in general, industrial applications will further evolve as well. With a focus on the domains of manufacturing
and production, the Internet of Production pursues the vision of
a digitized, globally interconnected, yet secure environment by
establishing a distributed knowledge base.
Background. As part of our collaborative research of advancing
the scope of industrial applications through cybersecurity and
privacy, we identified a set of common challenges and pitfalls
that surface in such applied interdisciplinary collaborations.
Aim. Our goal with this paper is to support researchers in
the emerging field of cybersecurity in industrial settings by
formalizing our experiences as reference for other research
efforts, in industry and academia alike.
Method. Based on our experience, we derived a process cycle of
performing such interdisciplinary research, from the initial idea
to the eventual dissemination and paper writing. This presented
methodology strives to successfully bootstrap further research
and to encourage further work in this emerging area.
Results. Apart from our newly proposed process cycle, we report
on our experiences and conduct a case study applying this
methodology, raising awareness for challenges in cybersecurity
research for industrial applications. We further detail the interplay between our process cycle and the data lifecycle in
applied research data management. Finally, we augment our
discussion with an industrial as well as an academic view on
this research area and highlight that both areas still have
to overcome significant challenges to sustainably and securely
advance industrial applications.
Conclusions. With our proposed process cycle for interdisciplinary research in the intersection of cybersecurity and industrial application, we provide a foundation for further research.
We look forward to promising research initiatives, projects, and
directions that emerge based on our methodological work.