When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing

People nowadays almost want everything at their fingertips, from business to entertainment, and meanwhile they do not want to leak their sensitive data. Strong information protection can be a competitive advantage, but preserving privacy is a real challenge when people use the mobile apps in the sma...

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Veröffentlicht in:	IEEE transactions on services computing 2018-09, Vol.11 (5), p.864-878
Hauptverfasser:	Liu, Rui, Cao, Jiannong, Zhang, Kehuan, Gao, Wenyu, Liang, Junbin, Yang, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Androids Applications programs Business competition Collaboration Crowdsourcing Data privacy Electronic commerce Hoops Humanoid robots Mobile communication Mobile computing Mobile operating systems Mobile privacy permission Privacy recommendation Recommender systems Smartphones Usability
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