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MockDroid: trading privacy for application functionality on smartphones

Beresford, Alastair R., Rice, Andrew, Skehin, Nicholas, Sohan, Ripduman·2011·Proceedings of the 12th Workshop on Mobile Computing Systems and Applications

Abstract

MockDroid is a modified version of the Android operating system which allows a user to 'mock' an application's access to a resource. This resource is subsequently reported as empty or unavailable whenever the application requests access. This approach allows users to revoke access to particular resources at run-time, encouraging users to consider the trade-off between functionality and the disclosure of personal information whilst they use an application. Existing applications continue to work on MockDroid, possibly with reduced functionality, since existing applications are already written to tolerate resource failure, such as network unavailability or lack of a GPS signal. We demonstrate the practicality of our approach by successfully running a random sample of twenty-three popular applications from the Android Market.

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Metadata

Authors
Beresford, A. R., Rice, A., Skehin, N., & Sohan, R.
Venue
Proceedings of the 12th Workshop on Mobile Computing Systems and Applications
Publisher
ACM
Published
2011-03
Pages
49-54
ISSN
1550-6193 (ISSN-L)
OpenAlex
W2053008565
Cited by
380
References
0
FWCI
33.41
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: MockDroid: trading privacy for application functionality on smartphones. https://app.cochat.ai/papers/10.1145/2184489.2184500
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Beresford, A. R., Rice, A., Skehin, N., & Sohan, R. (2011). MockDroid: trading privacy for application functionality on smartphones. Proceedings of the 12th Workshop on Mobile Computing Systems and Applications. https://doi.org/10.1145/2184489.2184500

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.