Abstract
Social software has become one of the most prominent means for communication. Context is essential for managing privacy and guiding communication. In social software, context can be ambiguous due to the overload of data and the mix of various audiences. Such ambiguity may result in privacy issues.
To overcome context and privacy issues, we propose \(\mathrm{CPS}^2\), a conceptual framework for contextual privacy management. The frameworks is based on an analysis of the role of context in communication and privacy management. The analysis identifies the interpretation of data as a key ingredient for privacy management. We present \(\mathrm{CPS}^2\) and how the preservation of interpretation within any context facilitates preserving contextual privacy. We discuss how \(\mathrm{CPS}^2\) can be technically realised, and how it can address context issues and offers fine-granular context control.
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Notes
- 1.
We do not imply the legal ownership.
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Acknowledgment
This research has been funded by the IWT in the context of the SBO project on Security and Privacy for Online Social Networks (SPION). Thanks are due to Natasa Milic-Frayling and Sören Preibusch at Microsoft Research Cambridge.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sayaf, R., Clarke, D., Harper, R. (2015). \(\mathrm{CPS}^2\): A Contextual Privacy Framework for Social Software. In: Tian, J., Jing, J., Srivatsa, M. (eds) International Conference on Security and Privacy in Communication Networks. SecureComm 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-319-23802-9_4
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