Title :
Security and privacy in mobile crowdsourcing networks: challenges and opportunities
Author :
Kan Yang ; Kuan Zhang ; Ju Ren ; Xuemin Shen
Author_Institution :
Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
The mobile crowdsourcing network (MCN) is a promising network architecture that applies the principles of crowdsourcing to perform tasks with human involvement and powerful mobile devices. However, it also raises some critical security and privacy issues that impede the application of MCNs. In this article, in order to better understand these critical security and privacy challenges, we first propose a general architecture for a mobile crowdsourcing network comprising both crowdsourcing sensing and crowdsourcing computing. After that, we set forth several critical security and privacy challenges that essentially capture the characteristics of MCNs. We also formulate some research problems leading to possible research directions. We expect this work will bring more attention to further investigation on security and privacy solutions for mobile crowdsourcing networks.
Keywords :
data privacy; mobile radio; telecommunication security; MCN privacy; crowdsourcing computing; crowdsourcing sensing; mobile crowdsourcing network security; Crowdsourcing; Data privacy; Mobile communication; Mobile handsets; Network security; Privacy; Sensors;
Journal_Title :
Communications Magazine, IEEE
DOI :
10.1109/MCOM.2015.7180511