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Unlinkable data sharing with dynamic access control

Publikationstyp
Conference Paper
Date Issued
2025-03
Sprache
English
Author(s)
Röbert, Kevin  
Kaaser, Dominik 
Data Engineering E-19  
Fischer, Mathias  
TORE-URI
https://hdl.handle.net/11420/55916
Start Page
506
End Page
508
Citation
40th Annual ACM Symposium on Applied Computing, SAC 2025: 506-508
Contribution to Conference
40th Annual ACM Symposium on Applied Computing, SAC 2025  
Publisher DOI
10.1145/3672608.3707708
Scopus ID
2-s2.0-105006430414
Publisher
ACM
ISBN
979-8-400-70629-5
In an increasingly information-driven society, the volume of digital footprints left by individuals has surged significantly. Safeguarding the anonymity of data generated by computing devices is becoming more challenging as these offer deep insights into personal behaviors. We propose a user-centric and privacy-preserving data space for unlinkable data sharing based on a central intermediary. By integrating differential privacy techniques with fine-grained access control, our system allows data providers to store their data confidentially and unlinkable at the intermediary. Data consumers can then locate and request data via this intermediary, ensuring that data providers remain informed without revealing the origin of the data. Additionally, the intermediary facilitates continuous data sharing, requiring only a single data upload. Our approach is designed to protect data providers from both external and internal attackers, as well as from an honest-but-curious intermediary.
Subjects
access control | data spaces | differential privacy | private data sharing
DDC Class
600: Technology
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