Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks
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.
Keywords
Big Data Analytics; Enterprise Identity and Access Management; Online Social Networks; SAML; FacebookISBN
9783731500940Publisher
KIT Scientific PublishingPublisher website
http://www.ksp.kit.edu/Publication date and place
2013Classification
Computer science