Privacy and Security for Mobile Crowdsourcing

This book is a concise guide to mobile crowdsourcing and crowdsensing vulnerabilities and countermeasures.

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.

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