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A Taxonomy of Dynamic Changes Affecting Confidentiality

Walter, Maximilian; Seifermann, Stephan; Heinrich, Robert

Abstract:
Industry 4.0 facilitates dynamic production processes for highly tailored individual products that require intense cooperation between different organisations. The enabler of such cooperation are cyber-physical systems (CPSs). A set of policies also considering dynamic changes of a request context during runtime has to protect the confidentiality of involved systems. Analysing policy effectiveness already during design time can avoid costly confidentiality flaws. However, the changes that can be evaluated during design time are not clear. Therefore, we identified typical dynamic changes from use cases we gathered with two industrial partners and categorized them accordingly.

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Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2020
Sprache Englisch
Identifikator KITopen-ID: 1000124712
Erschienen in 11th Workshop Design For Future – Langlebige Softwaresysteme
Veranstaltung 11. Workshop "Design For Future - Langlebige Softwaresysteme" (DFF 2020) - 22. Workshop "Software-Reeingineering and Evolution" (WSRE 2020), Online, 16.09.2020 – 18.09.2020
Bemerkung zur Veröffentlichung Die Veranstaltung fand wegen der Corona-Pandemie als Online-Event statt
Externe Relationen Abstract/Volltext
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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