A privacy-preserving task recommendation framework for mobile crowdsourcing

Proceedings - IEEE Global Communications Conference, GLOBECOM

Volumn , Issue , 2014, Pages 588-593

  Gong, Yanmin ^a   Guo, Yuanxiong ^b   Fang, Yuguang ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^b Oklahoma State University   (United States)

Author keywords

Mobile crowdsourcing; privacy; security; task recommendation

Indexed keywords

EFFICIENCY; OPTIMIZATION; PRIVACY-PRESERVING TECHNIQUES;

MOBILE CROWDSOURCING; MOBILE WORKERS; NP-HARD; OPTIMIZATION PROBLEMS; PRIVACY; PRIVACY CONCERNS; PRIVACY PRESERVING; SECURITY; SENSITIVE INFORMATIONS; TASK RECOMMENDATION;

CROWDSOURCING;

EID: 84949922082     PISSN: 23340983     EISSN: 25766813     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2014.7036871     Document Type: Conference Paper

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