Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks
Overview & Synopsis
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.
Indexed from repository: Directory of Open Access Books
(
www.doabooks.org)
Document Information
| Document Title | Avoiding Unintended Flows of Personally Identifiable Information : Enterprise Identity Management and Online Social Networks |
|---|---|
| Author / Organization | Labitzke, Sebastian |
| Subject & Discipline | QA75.5-76.95 |
| Categories | Open Access Books |
| Publication Year | 2021 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-60604 |
| Original Source Link | Visit Source Page on www.doabooks.org » |