Towards a model of user-centered privacy preservation

Paul Grace, Mike Surridge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security
PublisherACM
ISBN (Electronic)9781450352574
DOIs
Publication statusPublished - 29 Aug 2017
Event12th International Conference on Availability, Reliability and Security, ARES 2017 - Reggio Calabria, Italy
Duration: 29 Aug 20171 Sep 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F130521

Conference

Conference12th International Conference on Availability, Reliability and Security, ARES 2017
CountryItaly
CityReggio Calabria
Period29/08/171/09/17

Fingerprint

Data privacy

Keywords

  • Cloud computing
  • Model-driven development ACM
  • Privacy

Cite this

Grace, P., & Surridge, M. (2017). Towards a model of user-centered privacy preservation. In ARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security [a91] (ACM International Conference Proceeding Series; Vol. Part F130521). ACM. https://doi.org/10.1145/3098954.3104054
Grace, Paul ; Surridge, Mike. / Towards a model of user-centered privacy preservation. ARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security. ACM, 2017. (ACM International Conference Proceeding Series).
@inproceedings{4086e9f5b4af4731b4453899b8206148,
title = "Towards a model of user-centered privacy preservation",
abstract = "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.",
keywords = "Cloud computing, Model-driven development ACM, Privacy",
author = "Paul Grace and Mike Surridge",
year = "2017",
month = "8",
day = "29",
doi = "10.1145/3098954.3104054",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "ACM",
booktitle = "ARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security",
address = "United States",

}

Grace, P & Surridge, M 2017, Towards a model of user-centered privacy preservation. in ARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security., a91, ACM International Conference Proceeding Series, vol. Part F130521, ACM, 12th International Conference on Availability, Reliability and Security, ARES 2017, Reggio Calabria, Italy, 29/08/17. https://doi.org/10.1145/3098954.3104054

Towards a model of user-centered privacy preservation. / Grace, Paul; Surridge, Mike.

ARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security. ACM, 2017. a91 (ACM International Conference Proceeding Series; Vol. Part F130521).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 contribution

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

ER -

Grace P, Surridge M. Towards a model of user-centered privacy preservation. In ARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security. ACM. 2017. a91. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3098954.3104054