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SoSharP: Recommending Sharing Policies in Multiuser Privacy Scenarios

Research output: Contribution to journalArticle

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

Original languageEnglish
Pages (from-to)28-36
Issue number6
StatePublished - 20 Nov 2017


  • SoSharP: Recommending Sharing Policies_FOGUES_Accepted3July2017_GREEN AAM

    sosharp.pdf, 3 MB, application/pdf


    Accepted author manuscript

    (c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

King's Authors


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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