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
Computer Science
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 24, 2025, http://202.4.186.74:8004/oer/items/show/3623.