Abstract | ||
---|---|---|
A variety of Transparency-Enhancing Technologies has been presented during the past years. However, investigation of frameworks for classification and assessment of Transparency-Enhancing Technologies has lacked behind. The lack of precise classification and categorization approaches poses an obstacle not only to systematic requirements analysis for Transparency-Enhancing Technologies but also to investigation and analysis of their capabilities and their suitability to contribute to privacy protection. This paper addresses this research gap. In particular, it presents a set of categorization parameters for describing the properties and functionality of a Transparency-Enhancing Technology on the one hand, and a categorization of Transparency-Enhancing Technologies on the other hand. |
Year | Venue | Field |
---|---|---|
2015 | CoRR | Data science,Transparency (graphic),Categorization,Data mining,Obstacle,Computer science,Knowledge management,Requirements analysis |
DocType | Volume | Citations |
Journal | abs/1507.04914 | 0 |
PageRank | References | Authors |
0.34 | 8 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christian Zimmermann | 1 | 4 | 3.45 |