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

Dublin Core

Title

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

Subject

Online Social Networks

Description

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.

Creator

Labitzke, Sebastian

Source

https://www.ksp.kit.edu/9783731500940

Publisher

KIT Scientific Publishing

Date

2013

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Citation

Labitzke, Sebastian, “Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks,” Open Educational Resource (OER) - USK Library, accessed April 25, 2024, http://uilis.usk.ac.id/oer/items/show/3107.

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