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DOI: 10.5445/KSP/1000036269
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Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks

Labitzke, Sebastian

Abstract:
This work 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)
Publikationstyp Hochschulschrift
Jahr 2013
Sprache Englisch
Identifikator ISBN: 978-3-7315-0094-0
URN: urn:nbn:de:0072-362698
KITopen-ID: 1000036269
Verlag KIT Scientific Publishing, Karlsruhe
Umfang XVIII, 196 S.
Abschlussart Dissertation
Prüfungsdaten 19.07.2013
Schlagworte Enterprise Identity and Access Management, Online Social Networks, Big Data Analytics, SAML, Facebook
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