%0 Conference Paper %1 Bor+05 %A Borcea, Katrin %A Donker, Hilko %A Franz, Elke %A Liesebach, Katja %A Pfitzmann, Andreas %A Wahrig, Hagen %B Proceedings of the Workshop on Privacy-Enhanced Personalization (PEP'05) %C Edinburgh, UK %D 2005 %E Kobsa, Alfred %E Cranor, Lorrie %K 2005 IADIS2010_res ITSE10 identityManagement privacy %P 67--72 %T Intra-Application Partitioning of Personal Data %U http://www.isr.uci.edu/pep05/papers/borcea-pep.pdf %X Personalization provides users a comfortable working environment. But the necessary collection of personal data can imply privacy problems. Usual approaches to minimize privacy problems aim at separating data disclosed in different applications. However, this interapplication partitioning is not sufficient in case of large applications. Here we introduce the concept of intra-application partitioning of personal data by means of application-internal contexts. The description of such task-related contexts enables users to assess the linkability of their actions within the application. This approach helps users to control by themselves the linkability of their personal data.

@inproceedings{Bor+05, abstract = {Personalization provides users a comfortable working environment. But the necessary collection of personal data can imply privacy problems. Usual approaches to minimize privacy problems aim at separating data disclosed in different applications. However, this interapplication partitioning is not sufficient in case of large applications. Here we introduce the concept of intra-application partitioning of personal data by means of application-internal contexts. The description of such task-related contexts enables users to assess the linkability of their actions within the application. This approach helps users to control by themselves the linkability of their personal data.}, added-at = {2009-11-12T15:01:01.000+0100}, address = {Edinburgh, UK}, author = {Borcea, Katrin and Donker, Hilko and Franz, Elke and Liesebach, Katja and Pfitzmann, Andreas and Wahrig, Hagen}, biburl = {https://www.bibsonomy.org/bibtex/2812ad10b4c8dcfb869f222f8b1461f88/trude}, booktitle = {Proceedings of the Workshop on Privacy-Enhanced Personalization (PEP'05)}, editor = {Kobsa, Alfred and Cranor, Lorrie}, interhash = {5a72d215e445ce4273c3e96c66c99ef9}, intrahash = {812ad10b4c8dcfb869f222f8b1461f88}, keywords = {2005 IADIS2010_res ITSE10 identityManagement privacy}, month = {June}, organization = {UC Irvine Institute for Software Research (ISR)}, pages = {67--72}, timestamp = {2010-04-20T16:14:18.000+0200}, title = {Intra-Application Partitioning of Personal Data}, url = {http://www.isr.uci.edu/pep05/papers/borcea-pep.pdf}, year = 2005 }