Confidentiality and Integrity in Crowdsourcing Systems
ISBN: 9783319027173
Platform/Publisher: SpringerLink / Springer International Publishing
Digital rights: Users: unlimited; Printing: unlimited; Download: unlimited
Subjects: Engineering;

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.

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

hidden image for function call