Confidentiality and Integrity in Crowdsourcing Systems

2014
ISBN: 978-3-319-02716-6
Verlag: Springer International Publishing

Buch, Englisch, 77 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1416 g

Reihe: SpringerBriefs in Applied Sciences and Technology

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.

Zielgruppe

Research

Autoren/Hrsg.

Maheswaran, Muthucumaru

Ranj Bar, Amin

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Datensicherheit, Datenschutz
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Social Media, Semantic Web, Web 2.0

Inhaltsverzeichnis

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

Über Autor(innen)

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