1st Edition

Privacy and Security for Mobile Crowdsourcing

By Shabnam Sodagari Copyright 2023
142 Pages 14 Color Illustrations
by River Publishers

142 Pages 14 Color Illustrations
by River Publishers

This concise guide to mobile crowdsourcing and crowdsensing vulnerabilities and countermeasures walks readers through a series of examples, discussions, tables, initiative figures, and diagrams to present to them security and privacy foundations and applications. Discussed approaches help build intuition to apply these concepts to a broad range of system security domains toward dimensioning of... Read more

1. The Importance of Crowdsourcing

2. Spatio-temporal Privacy of Crowdsourced Applications

3. Differentially Private Mobile Crowdsourcing

4. Trust in Edge-and-fog-based Vehicular Crowdsensing

5. Blockchain-based Solutions for Security and Privacy of MCS Systems

6. MCS Security Games and Incentive Mechanisms

7. Machine Learning Based Privacy/Security Solutions for MCS 135

8. Crowdsourced Mobile Apps

9. Reliable Industrial IoT Using Crowdsourcing

10. Misinformation, Fake News, and Crowdsourcing

11. Security in 6G and Wi-Fi Communications Leveraging

Mobile Crowdsensing

12. Problems

Biography

Shabnam Sodagari received her Ph.D. from the Pennsylvania State University in electrical engineering and is a faculty member of computer engineering and computer science.