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Secure and privacy-respecting documentation for interactive manufacturing and quality assurance

Wagner, Paul Georg ORCID iD icon 1; Lengenfelder, Christian; Holzbach, Gerrit; Becker, Maximilian ORCID iD icon 1; Birnstill, Pascal; Voit, Michael; Bejhad, Ali 1; Samorei, Tim 1; Beyerer, Jürgen
1 Karlsruher Institut für Technologie (KIT)

Abstract:

The automated documentation of work steps is a requirement of many modern manufacturing processes. Especially when it comes to important procedures such as safety critical screw connections or weld seams, the correct and complete execution of certain manufacturing steps needs to be properly supervised, e.g., by capturing video snippets of the worker to be checked in hindsight. Without proper technical and organizational safeguards, such documentation data carries the potential for covert performance monitoring to the disadvantage of employees. Naïve documentation architectures interfere with data protection requirements, and thus cannot expect acceptance of employees. In this paper we outline use cases for automated documentation and describe an exemplary system architecture of a workflow recognition and documentation system. We derive privacy protection goals that we address with a suitable security architecture based on hybrid encryption, secret-sharing among multiple parties and remote attestation of the system to prevent manipulation. We finally contribute an outlook towards problems and possible solutions with regards to information that can leak through accessible metadata and with regard to more modular system architectures, where more sophisticated remote attestation approaches are needed to ensure the integrity of distributed components.


Verlagsausgabe §
DOI: 10.5445/IR/1000137034
Veröffentlicht am 12.09.2021
Originalveröffentlichung
DOI: 10.3390/app11167339
Scopus
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (IOSB)
Institut für Anthropomatik und Robotik (IAR)
Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2076-3417
KITopen-ID: 1000137034
HGF-Programm 46.23.04 (POF IV, LK 01) Engineering Security for Production Systems
Erschienen in Applied Sciences (Switzerland)
Verlag MDPI
Band 11
Heft 16
Seiten Art.-Nr.: 7339
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Schlagwörter automated video documentation; workflow recognition; privacy-respecting manufacturing technologies; manufacturing security; human-computer interaction
Nachgewiesen in Scopus
Web of Science
Dimensions
Globale Ziele für nachhaltige Entwicklung Ziel 9 – Industrie, Innovation und Infrastruktur
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page