TY - GEN
T1 - Towards a model of user-centered privacy preservation
AU - Grace, Paul
AU - Surridge, Mike
PY - 2017/8/29
Y1 - 2017/8/29
N2 - The growth in cloud-based services tailored for users means more and more personal data is being exploited, and with this comes the need to better handle user privacy. Software technologies concentrating on privacy preservation typically present a one-size fits all solution. However, users have different viewpoints of what privacy means to them and therefore, configurable and dynamic privacy preserving solutions have the potential to create useful and tailored services without breaching any user's privacy. In this paper, we present a model of user-centered privacy that can be used to analyse a service's behaviour against user preferences, such that a user can be informed of the privacy implications of that service and what fine-grained actions they can take to maintain their privacy. We show through a case- study that the user-based privacy model can: i) provide customizable privacy aligned with user needs; and ii) identify potential privacy breaches.
AB - The growth in cloud-based services tailored for users means more and more personal data is being exploited, and with this comes the need to better handle user privacy. Software technologies concentrating on privacy preservation typically present a one-size fits all solution. However, users have different viewpoints of what privacy means to them and therefore, configurable and dynamic privacy preserving solutions have the potential to create useful and tailored services without breaching any user's privacy. In this paper, we present a model of user-centered privacy that can be used to analyse a service's behaviour against user preferences, such that a user can be informed of the privacy implications of that service and what fine-grained actions they can take to maintain their privacy. We show through a case- study that the user-based privacy model can: i) provide customizable privacy aligned with user needs; and ii) identify potential privacy breaches.
KW - Cloud computing
KW - Model-driven development ACM
KW - Privacy
UR - http://www.scopus.com/inward/record.url?scp=85030309827&partnerID=8YFLogxK
UR - https://dl.acm.org/citation.cfm?doid=3098954.3104054
U2 - 10.1145/3098954.3104054
DO - 10.1145/3098954.3104054
M3 - Conference publication
AN - SCOPUS:85030309827
T3 - ACM International Conference Proceeding Series
BT - ARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security
PB - ACM
T2 - 12th International Conference on Availability, Reliability and Security, ARES 2017
Y2 - 29 August 2017 through 1 September 2017
ER -