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Caprice: a tool for engineering adaptive privacy

Omoronyia, Inah; Pasquale, Liliana; Salehie, Mazeiar; Cavallaro, Luca; Doherty, Gavin and Nuseibeh, Bashar (2012). Caprice: a tool for engineering adaptive privacy. In: 27th IEEE/ACM International Conference on Automated Software Engineering (ASE 2012), 3-7 September 2012, Essen, Germany.

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URL: http://ase2012.paluno.uni-due.de/
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Abstract

In a dynamic environment where context changes frequently, users’ privacy requirements can also change. To satisfy such changing requirements, there is a need for continuous analysis to discover new threats and possible mitigation actions. A frequently changing context can also blur the boundary between public and personal space, making it difficult for users to discover and mitigate emerging privacy threats. This challenge necessitates some degree of self-adaptive privacy management in software applications. This paper presents Caprice - a tool for enabling software engineers to design systems that discover and mitigate contextsensitive privacy threats. The tool uses privacy policies, and associated domain and software behavioural models, to reason over the contexts that threaten privacy. Based on the severity of a discovered threat, adaptation actions are then suggested to the designer. We present the Caprice architecture and demonstrate, through an example, that the tool can enable designers to focus on specific privacy threats that arise from changing context and the plausible category of adaptation action, such as ignoring, preventing, reacting, and terminating interactions that threaten privacy.

Item Type: Conference Item
Copyright Holders: 2012 ACM
Project Funding Details:
Funded Project NameProject IDFunding Body
CSET210/CE/I1855 Science Foundation Ireland
Not SetNot SetMicrosoft SEIF Award (2011)
Not SetNot SetERC
Keywords: privacy; adaptive software; changing context; selective disclosure
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 35010
Depositing User: Danielle Lilly
Date Deposited: 31 Oct 2012 15:58
Last Modified: 01 Aug 2013 14:42
URI: http://oro.open.ac.uk/id/eprint/35010
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