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Towards measuring the linkage risk in information flows

: Bier, Christoph; Beyerer, Jürgen

Volltext urn:nbn:de:0011-n-4150359 (491 KByte PDF)
MD5 Fingerprint: 265f4878e271b7ee58386cf26f3c9499
Erstellt am: 30.9.2016

Ambacher, Oliver (Hrsg.); Wagner, Joachim; Quay, Rüdiger ; Fraunhofer-Institut für Angewandte Festkörperphysik -IAF-, Freiburg/Brsg.:
Security Research Conference. 11th Future Security : Berlin, September 13-14, 2016. Proceedings
Stuttgart: Fraunhofer Verlag, 2016
ISBN: 978-3-8396-1011-4
Security Research Conference "Future Security" <11, 2016, Berlin>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
unlinkability; information flow; risk measurement; data protection; classified information

Information is one of the most important assets in industry, infrastructures, government, and armed forces. Classified information can be handled according to organizational rules and well-established access control models. However, the free flow of information is a precondition for decision-making and efficient processes in many cases. Hence, lots of information is not classified by default or on such a low level that too many people and systems have access to it. Due to sophisticated analysis methods, this poses risks.
We present a set of unlinkability metrics to determine the overall linkage risk of a collection of information processes. The metrics cover the linkage of storage location, of information flows, of sensitive data, and of sensitive data with (intelligence) sources. We developed a process simulator that allows comparing different process designs a priori and at runtime.