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  4. Extending Actor Models in Data Spaces
 
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2023
Conference Paper
Title

Extending Actor Models in Data Spaces

Abstract
In today's internet almost any party can share sets of data with each other. However, creating frameworks and regulated realms for the sharing of data is very complex when multiple parties are involved and complicated regulation comes into play. As solution data spaces were introduced to enable participating parties to share data among themselves in an organized, regulated and standardized way. However, contract data processors, acting as data space participants, are currently unable to execute data requests on behalf of their contract partners. Here we show that an on-behalf-of actor model can be easily added to existing data spaces. We demonstrate how this extension can be realized using verifiable credentials. We provide a sample use case, a detailed sequence diagram and discuss necessary architectural adaptations and additions to established protocols. Using the extensions explained in this work numerous real life use cases which previously could technically not be realized can now be covered. This enables future data spaces to provide more dynamic and complex real world use cases.
Author(s)
Meyer zum Felde, Hendrik
Fraunhofer-Institut für Angewandte und Integrierte Sicherheit AISEC  
Kollenstart, Maarten
Bellebaum, Thomas
Fraunhofer-Institut für Angewandte und Integrierte Sicherheit AISEC  
Dalmolen, Simon
Brost, Gerd Stefan
Fraunhofer-Institut für Angewandte und Integrierte Sicherheit AISEC  
Mainwork
The ACM Web Conference 2023. Companion of The World Wide Web Conference WWW 2023  
Conference
World Wide Web Conference 2023  
DOI
10.1145/3543873.3587645
Language
English
Fraunhofer-Institut für Angewandte und Integrierte Sicherheit AISEC  
Keyword(s)
  • Actor Models

  • Contract Data Processing

  • Data Spaces

  • Gaia-X

  • International Data Spaces

  • On-behalf-of Model

  • Self-Sovereign Identities

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