Reynolds Brandao, Vasco (2025) Collecting Data from exposed digital twins in offshore wind farms. Bachelor's Thesis, Computing Science.
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Abstract
The convergence of IT and OT in offshore wind has heightened concerns where in- secure or legacy protocols remain in use. Digital twins are increasingly applied across wind-farm assets and when underlying systems exhibit cybersecurity weaknesses, those risks can be reflected in digital twins as well. This study focuses on European offshore wind farms and on devices whose exposed services use selected insecure or legacy pro- tocols (DNP3, FTP, Modbus, Siemens S7, Telnet). Its aims : to identify devices plausibly related to offshore wind farms and assign them a role within the wind-farm context (Turbine, Substation, Control Center, Other, or Not Part of Offshore Wind Farms(OWF)), to flag potential digital twins, to observe short-term changes in selected service-level fields and describe Common Vulnerabilites and Exposures(CVEs) associ- ated with the devices’ services. The potential digital-twin identification and change- over-time observation are applied only to devices first attributed an OWF role. To support reuse and extension, the work provides a modular python CLI and structured data/criteria files designed so other researchers can replicate or adapt the investigation. The study contributes a transparent classification system for roles and potential twins, together with a compact observations of short-term changes in service information and CVEs.
| Item Type: | Thesis (Bachelor's Thesis) |
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| Supervisor name: | Mohsen, F.F.M. and Dustegor, D. |
| Degree programme: | Computing Science |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 18 Sep 2025 11:55 |
| Last Modified: | 18 Sep 2025 11:55 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/37044 |
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