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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| Auteur principal: | |
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| Format: | Électronique Chapitre de livre |
| Langue: | anglais |
| Publié: |
KIT Scientific Publishing
2013
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| Sujets: | |
| Accès en ligne: | DOAB: download the publication DOAB: description of the publication |
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| Résumé: | 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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| Description matérielle: | 1 electronic resource (XVIII, 196 p. p.) |
| ISBN: | KSP/1000036269 9783731500940 |
| Accès: | Open Access |