SoSharP:Recommending Sharing Policies in Multiuser Privacy Scenarios
Autor: | Pradeep K. Murukannaiah, Ricard L. Fogues, Munindar P. Singh, Jose M. Such |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Computer Networks and Communications
business.industry Computer science Internet privacy 02 engineering and technology Recommender system Computer security computer.software_genre Crowdsourcing 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Social media Sensitivity (control systems) business computer Selection (genetic algorithm) |
Zdroj: | Fogues, R L, Murukannaiah, P K, Such, J & Singh, M P 2017, ' SoSharP : Recommending Sharing Policies in Multiuser Privacy Scenarios ', IEEE INTERNET COMPUTING, vol. 21, no. 6, pp. 28-36 . https://doi.org/10.1109/MIC.2017.4180836 |
DOI: | 10.1109/MIC.2017.4180836 |
Popis: | Users often share information about others; sometimes this inadvertently violates others’ privacy. Thus, here the authors propose SoSharP, an agent-based approach to help users maintain their own and others’ privacy by guiding a selection of sharing policies in multiuser scenarios. SoSharP learns incrementally and asks for users’ input only when required, reducing users’ effort. |
Databáze: | OpenAIRE |
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