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: Book Chapter
Published: KIT Scientific Publishing 2013
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DOAB: description of the publication
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005 20210211
020 |a KSP/1000036269 
020 |a 9783731500940 
024 7 |a 10.5445/KSP/1000036269  |c doi 
041 0 |a English 
042 |a dc 
100 1 |a Labitzke, Sebastian  |4 auth 
245 1 0 |a Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks 
260 |b KIT Scientific Publishing  |c 2013 
300 |a 1 electronic resource (XVIII, 196 p. p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
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. 
540 |a All rights reserved  |4 http://oapen.org/content/about-rights 
546 |a English 
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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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/41743  |7 0  |z DOAB: description of the publication