SoSharP: Recommending Sharing Policies in Multiuser Privacy Scenarios

Ricard L. Fogues; Pradeep K. Murukannaiah; Jose Such; Munindar P. Singh

doi:10.1109/MIC.2017.4180836

SoSharP: Recommending Sharing Policies in Multiuser Privacy Scenarios

Ricard L. Fogues, Pradeep K. Murukannaiah, Jose Such, Munindar P. Singh

North Carolina State University

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

343 Downloads (Pure)

Abstract

Users often share information about others and may inadvertently violate their privacy. We propose SoSharP, an agent-based approach to help users maintain their own and others’ privacy by guiding selection of sharing policies in multiuser scenarios. SoSharP learns incrementally and asks for user input only when required, reducing user effort.

Original language	English
Pages (from-to)	28-36
Journal	IEEE INTERNET COMPUTING
Volume	21
Issue number	6
DOIs	https://doi.org/10.1109/MIC.2017.4180836
Publication status	Published - 20 Nov 2017

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10.1109/MIC.2017.4180836

SoSharP: Recommending Sharing Policies_FOGUES_Accepted3July2017_GREEN AAM
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Accepted author manuscript, 3.1 MB

1 Finished

RePriCo: Resolving Multi-party Privacy Conflicts in Social Media
Such, J. (Primary Investigator)
EPSRC Engineering and Physical Sciences Research Council
4/04/2017 → 3/01/2018
Project: Research

27 Citations
1 Article

Sharing Policies in Multiuser Privacy Scenarios: Incorporating Context, Preferences, and Arguments in Decision Making
Fogues, R. L., Murukannaiah, P. K., Such, J. & Singh, M. P., Mar 2017, In: ACM Transactions on Computer-Human Interaction. 24, 1, p. 1-29 29 p., 5.
Research output: Contribution to journal › Article › peer-review

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51 Citations (Scopus)

438 Downloads (Pure)

Cite this

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title = "SoSharP: Recommending Sharing Policies in Multiuser Privacy Scenarios",

abstract = "Users often share information about others and may inadvertently violate their privacy. We propose SoSharP, an agent-based approach to help users maintain their own and others{\textquoteright} privacy by guiding selection of sharing policies in multiuser scenarios. SoSharP learns incrementally and asks for user input only when required, reducing user effort. ",

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AB - Users often share information about others and may inadvertently violate their privacy. We propose SoSharP, an agent-based approach to help users maintain their own and others’ privacy by guiding selection of sharing policies in multiuser scenarios. SoSharP learns incrementally and asks for user input only when required, reducing user effort.

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SoSharP: Recommending Sharing Policies in Multiuser Privacy Scenarios

Abstract

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RePriCo: Resolving Multi-party Privacy Conflicts in Social Media

Research output

Sharing Policies in Multiuser Privacy Scenarios: Incorporating Context, Preferences, and Arguments in Decision Making

Cite this