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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.


Volltext §
DOI: 10.5445/KSP/1000036269
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Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Hochschulschrift
Publikationsjahr 2013
Sprache Englisch
Identifikator ISBN: 978-3-7315-0094-0
urn:nbn:de:0072-362698
KITopen-ID: 1000036269
Verlag KIT Scientific Publishing
Umfang XVIII, 196 S.
Art der Arbeit Dissertation
Prüfungsdaten 19.07.2013
Schlagwörter Enterprise Identity and Access Management, Online Social Networks, Big Data Analytics, SAML, Facebook
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