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Cybersecurity for Industry 4.0: Analysis for Design and Manufacturing
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“This approach is not wrong, but no matter how flexible a reference architecture may be, advocating “one size fits all” approach might slow down the process of adopting I4.0 concept in cases where the implementation of the chosen reference architecture model proves to be too complex e.g. when current industrial landscape demands retrofitting of existing equipment [189].”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [189]
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Metadata
- Authors
- Thames, L., & Schaefer, D.
- Affiliations
- University of Bath (GB)
- ORCID
- Dirk Schaefer
- Venue
- Springer Series in Advanced Manufacturing
- Publisher
- Springer International Publishing
- Published
- 2017
- ISSN
- 1860-5168 (ISSN-L)
- 2196-1735
- OpenAlex
- W2604695896
- Cited by
- 162
- References
- 0
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 14 · 2023: 22 · 2022: 27 · 2021: 29 · 2020: 27 · 2019: 19 · 2018: 12 · 2017: 5
- FWCI
- 29.11
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer series in advanced manufacturing (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- DIAL (Catholic University of Leuven) (submittedVersion)
- Lincoln Repository (University of Lincoln) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- cybersecurity, Industry 4.0, industrial networks, manufacturing security, smart manufacturing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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