Bünnig, Christian (2008) Learning Context Based Disclosure of Private Information. In: The Internet of Things & Services - 1st Intl. Research Workshop.
Full text not available from this repository.Abstract
Handling private data in ubiquitous computing scenarios is a challenging task for users. Privacy policies can be used to control the flow of personal information but in practice they are hard to create and maintain due to the wide range of services and the diversity of communicated private data. Especially when the decision whether to reveal a certain piece of information or not can only be reached at the moment when the information is requested, i.e. when the context of disclosure is known, it is almost impossible to setup privacy policies. Learning a user's disclosure behavior can solve this problem by either automatically creating policies or by fine-tuning basic existent policies. In our work we analyze requirements on a privacy management learning mechanism and review corresponding machine learning methods concerning their ability to create privacy policies easy to understand and adjust by users.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | website,website-cb203,website-project-pirvacy-in-se |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Depositing User: | Lehrstuhl Informations- und Kommunikationsdienste |
| Date Deposited: | 22 Oct 2018 14:22 |
| Last Modified: | 22 Oct 2018 14:22 |
| URI: | http://eprints.iuk.informatik.uni-rostock.de/id/eprint/604 |
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