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

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 infer...

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Bibliographic Details
Main Author: Labitzke, Sebastian (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2013
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DOAB: description of the publication
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520 |a 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. 
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653 |a Big Data Analytics 
653 |a Enterprise Identity and Access Management 
653 |a Online Social Networks 
653 |a SAML 
653 |a Facebook 
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