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URN: urn:nbn:de:swb:90-367613

Avoiding Unintended Flows of Personally Identifiable Information - Enterprise Identity Management and Online Social Networks

Labitzke, Sebastian

Abstract:
This dissertation addresses potentially occurring unintended flows of personally identifiable information (PII) within two fields of research, i.e., enterprise identity management and online social networks. For that, we investigate which pieces of PII can how often be gathered, correlated, or even be inferred by third parties that are not intended to get access to the specific pieces of PII. Furthermore, we introduce technical measures and concepts to avoid unintended flows of PII.


Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Steinbuch Centre for Computing (SCC)
Publikationstyp Hochschulschrift
Jahr 2013
Sprache Englisch
Identifikator KITopen-ID: 1000036761
Verlag Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Telematik (TM)
Prüfungsdaten 19.07.2013
Referent/Betreuer Prof. H. Hartenstein
Schlagworte Enterprise Identity and Access Management, SAML, Online Social Networks, Big Data Analytics
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