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 language | English |
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| Title of host publication | ARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security |
| Publisher | ACM |
| ISBN (Electronic) | 9781450352574 |
| DOIs | |
| Publication status | Published - 29 Aug 2017 |
| Event | 12th International Conference on Availability, Reliability and Security, ARES 2017 - Reggio Calabria, Italy Duration: 29 Aug 2017 → 1 Sept 2017 |
Publication series
| Name | ACM International Conference Proceeding Series |
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| Volume | Part F130521 |
Conference
| Conference | 12th International Conference on Availability, Reliability and Security, ARES 2017 |
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| Country/Territory | Italy |
| City | Reggio Calabria |
| Period | 29/08/17 → 1/09/17 |
Funding
This work was supported by the European Commission as part of the OPERANDO project (Grant no. 653704). We also acknowledge the work of Robbie Anderson in developing an early implementation of the privacy questionnaire.
Keywords
- Cloud computing
- Model-driven development ACM
- Privacy