Access the full text.
Sign up today, get DeepDyve free for 14 days.
We are using more and more devices connected to the Internet. Our smartphones, tablets and now everyday items can share data to make our life easier. Sharing data may harm our privacy and there is a need to control them. However, this task is complex especially for non technical users. To facilitate this task, we present a decision support system, named KAPUER, that proposes high level authorization policies by learning users’ privacy preferences. KAPUER has been integrated into XACML and three learning algorithms have been evaluated.
Annals of Data Science – Springer Journals
Published: Feb 8, 2015
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.