Privacy in context-aware mobile crowdsourcing systems

Privacy in context-aware mobile crowdsourcing systems

Mobile crowd-sourcing can become as a strategy to perform time-sensitive urban tasks (such as municipal monitoring and last mile logistics) by effectively coordinating smartphone users. The success of the mobile crowd-sourcing platform depends mainly on its effectiveness in engaging crowd-workers, a...

Full description

Saved in:
Bibliographic Details
Main Authors: KANDAPPU, Thivya, MISRA, Archan, CHENG, Shih-Fen, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Daily routines
Effective location
In contexts
Mobile crowdsourcing
Mobility traces
Privacy invasions
Push-based
User location
Perturbation techniques
Artificial Intelligence and Robotics
Information Security
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3630
https://ink.library.smu.edu.sg/context/sis_research/article/4632/viewcontent/IEEE_certified_version.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3630
https://ink.library.smu.edu.sg/context/sis_research/article/4632/viewcontent/IEEE_certified_version.pdf

Similar Items