Confidentiality and Integrity in Crowdsourcing Systems

1. Front Matter

   Pages i-v

   PDF

2. Introduction

   • Amin Ranj Bar, Muthucumaru Maheswaran

   Pages 1-4

3. Crowdsourcing Information Systems

   • Amin Ranj Bar, Muthucumaru Maheswaran

   Pages 5-9

4. Online Identities

   • Amin Ranj Bar, Muthucumaru Maheswaran

   Pages 11-24

5. Confidentiality Control

   • Amin Ranj Bar, Muthucumaru Maheswaran

   Pages 25-37

6. Integrity Management

   • Amin Ranj Bar, Muthucumaru Maheswaran

   Pages 39-57

7. Case Study: Integrity of Wikipedia Articles

   • Amin Ranj Bar, Muthucumaru Maheswaran

   Pages 59-66

8. Concluding Remarks

   • Amin Ranj Bar, Muthucumaru Maheswaran

   Pages 67-68

9. Back Matter

   Pages 69-77

   PDF

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.

• Access Control
• Crowdsourcing Systems
• Information Sharing
• Online Identity
• Online Social Networks
• Social Networks

• McGill University, St-Lambert, Canada

  Amin Ranj Bar

• McGill University, Montreal, Canada

  Muthucumaru Maheswaran

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

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