Title
Caprice: a tool for engineering adaptive privacy
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 context-sensitive 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.
Year
DOI
Venue
2012
10.1145/2351676.2351745
Automated Software Engineering
Keywords
Field
DocType
privacy threat,privacy requirement,engineering adaptive privacy,adaptation action,context-sensitive privacy threat,software application,enabling software engineer,privacy policy,self-adaptive privacy management,context change,specific privacy threat,data privacy,satisfiability,software engineering,privacy
Architecture,Internet privacy,Selective disclosure,Privacy by Design,Computer science,Computer security,Privacy policy,Design systems,Software,Information privacy,Privacy software
Conference
ISSN
ISBN
Citations 
1527-1366
978-1-4503-1204-2
3
PageRank 
References 
Authors
0.40
7
6
Name
Order
Citations
PageRank
Inah Omoronyia117912.51
Liliana Pasquale246830.04
Mazeiar Salehie383134.30
Luca Cavallaro41549.20
Gavin Doherty536142.18
Bashar Nuseibeh64201347.16