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Title: |
On Frameworks for the Visualization of Privacy Policies Implications |
Publication type: |
Conference papers |
Authors: |
Accorsi R, Stocker T
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Year of publication: |
2009 |
Journal: |
W3C Workshop on Access Control Application Scenarios |
Conference: |
W3C Workshop on Access Control Application Scenarios, Luxemburg |
Abstract: |
Privacy policies provide a way to automate the control of
data access and usage across different systems and enterprise domains.
Due to the ever growing complexity and number of policies, users are
often unaware of the amount of information they implicitly release as
a function of a given (possibly negotiated or combined) privacy policy.
This is substantiated by a several experiments demonstrating that users
fail to capture their privacy preferences when specifying their policies.
Below, we motivate the need for frameworks to compute and visualize the
implications of a policy, i.e. to make implicit access and usage decisions
explicit to users. In enhancing the usability of policy specification and
negotiation, users are eventually able to define more precise policies,
which is an essential feature for current computing models based on
social networks and cloud and ubiquitous computing. |
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