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Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks
Sebastian Labitzke
2013
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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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Keywords
- big data analytics
- Computer science
- Computing & information technology
- Enterprise Identity and Access Management
- Online social networks
- SAML
Links
DOI: 10.5445/KSP/1000036269Editions