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



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Autore: Labitzke Sebastian Visualizza persona
Titolo: Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks Visualizza cluster
Pubblicazione: KIT Scientific Publishing, 2013
Descrizione fisica: 1 electronic resource (XVIII, 196 p. p.)
Soggetto non controllato: Big Data Analytics
Enterprise Identity and Access Management
Online Social Networks
SAML
Facebook
Sommario/riassunto: 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.
Altri titoli varianti: Avoiding Unintended Flows of Personally Identifiable Information
Titolo autorizzato: Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks  Visualizza cluster
ISBN: 1000036269
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910347060403321
Lo trovi qui: Univ. Federico II
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