Confidentiality and Integrity in Crowdsourcing Systems, 2014 SpringerBriefs in Applied Sciences and Technology Series

Confidentiality and Integrity in Crowdsourcing Systems focuses on identity, privacy, and security related issues in crowdsourcing systems and in particular the confidentiality and integrity of online data created via crowdsourcing. This book begins with an introduction to crowdsourcing and then covers the privacy and security challenges of Confidentiality. The book examines integrity in these systems and the management and control of crowdsourcing systems.

Introduction.- Crowdsourcing Information Systems.- Online Identities.- Confidentiality Control.- Integrity Management.- Case Study: Integrity of Wikipedia Articles.- Concluding Remarks.

Amin Ranj Bar is a Research Assistant at Sharif University of Technology, Concordia University and McGill University, Part-time Faculty at Concordia University, and Faculty of Champlain College

Muthucumaru Maheswaran is an Associate Professor at McGill University

Discusses management in crowdsourcing systems Covers access control implementations in crowdsourcing systems Presents trust model for web-based social networks Includes supplementary material: sn.pub/extras