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Publication

PrimAndroid: privacy policy modelling and analysis for android applications

Date
2011
Abstract
The rapid growth of mobile applications has imposed new threats to privacy: users often nd it challenging to ensure that their privacy policies are consistent with the requirements of a diverse range of of mobile applications that access personal information under different contexts. This problem exacerbates when applications de- pend on each other and therefore share permissions to access resources in ways that are opaque to an end-user. To meet the needs of representing privacy requirements and of resolving dependencies issues in privacy policies, we propose an extension to the P-RBAC model for reasoning about plausible scenarios that can exploit such weaknesses of mobile systems. This work has been evaluated using the case studies on several Android mobile applications.
Supervisor
Description
peer-reviewed
Publisher
IEEE Computer Society
Citation
Proceedings 12th IEEE Interntionanl Symposium on Policies for Distributed Systems and Networks;2011
Collections
Lero - The Science Foundation Ireland Research Centre for Software
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Files
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2011_Benats.pdf
Adobe PDF, 273.82 KB
Keywords
privacy policy, mobile applications, policy conflicts
ULRR Identifiers
https://researchrepository.ul.ie/handle/10344/1744
 https://doi.org/10.34961/9659
Funding code
Funding Information
EPSRC, European Research Council (ERC), Science Foundation Ireland (SFI)
Sustainable Development Goals
External Link
Type
Meetings and Proceedings
Rights
https://creativecommons.org/licenses/by-nc-sa/1.0/
License