Discusses management in crowdsourcing systems
Covers access control implementations in crowdsourcing systems
Presents trust model for web-based social networks
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
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.
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
Über den Autor
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
Inhaltsverzeichnis
Introduction.- Crowdsourcing Information Systems.- Online Identities.- Confidentiality Control.- Integrity Management.- Case Study: Integrity of Wikipedia Articles.- Concluding Remarks.
Klappentext
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.
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
