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Classifying Usage Control and Data Provenance Architectures

 
: Wagner, Paul Georg

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Fulltext urn:nbn:de:0011-n-6383780 (760 KByte PDF)
MD5 Fingerprint: 12553a3868f20f65ba459269b6127c25
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Created on: 28.7.2021


Beyerer, Jürgen (Ed.); Zander, Tim (Ed.):
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2020. Proceedings : 27th to the 31st of July 2020, Karlsruhe
Karlsruhe: KIT Scientific Publishing, 2021 (Karlsruher Schriften zur Anthropomatik 51)
ISBN: 978-3-7315-1091-8
DOI: 10.5445/KSP/1000130397
pp.135-154
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2020, Karlsruhe>
English
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Abstract
Given the ubiquity of data acquisition and processing in our everyday life, protecting data sovereignty in distributed systems is a significant topic of research. Usage control and provenance tracking systems are very promising steps towards a technical solution for the problem of data sovereignty. However, due to their complexity and diversity these systems are still not fully understood. In this work we investigate the functionality of usage control and provenance tracking systems. We classify them into three different categories based on their security goals and properties. Furthermore we identify generic use cases for these systems that help to understand what attack vectors system operators have to be mindful of.

: http://publica.fraunhofer.de/documents/N-638378.html