Acting in the digital world, such as browsing the Internet, always causes generation of data. However, the average user is not aware that his actions leave traces which might cause privacy risks. Within this paper, we discuss the need for privacy-enhancing application design considering eLearning as example. eLearning is an application area that comprises many use cases which are common in the digital world. Since an eLearning application aims at assisting users, they cannot act in full anonymity. We discuss a possible solution which uses privacy-enhancing identity management (PIM) in order to provide as much anonymity as possible while still enabling assistance. © Springer-Verlag Berlin Heidelberg 2000.
CITATION STYLE
Borcea, K., Donker, H., Franz, E., Pfitzmann, A., & Wahrig, H. (2006). Towards privacy-aware eLearning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3856 LNCS, pp. 167–178). Springer Verlag. https://doi.org/10.1007/11767831_11
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