Privacy and Security for Mobile Crowdsourcing

Shabnam Sodagari

$200

Hardback

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English

River Publishers
21 December 2023

Electrical engineering; Environmental science, engineering & technology; Legal aspects of computing; Computer security; Computer science

Series: River Publishers Series in Digital Security and Forensics

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 next generations of mobiles crowdsensing applications. This book offers vigorous techniques as well as new insights for both beginners and seasoned professionals. It reflects on recent advances and research achievements.

Technical topics discussed in the book include but are not limited to:

Risks affecting crowdsensing platforms Spatio-temporal privacy of crowdsourced applications Differential privacy for data mining crowdsourcing Blockchain-based crowdsourcing Secure wireless mobile crowdsensing.

This book is accessible to readers in mobile computer/communication industries as well as academic staff and students in computer science, electrical engineering, telecommunication systems, business information systems, and crowdsourced mobile app developers.

By: Shabnam Sodagari
Imprint: River Publishers
Country of Publication: Denmark
Dimensions: Height: 234mm, Width: 156mm,
Weight: 320g
ISBN: 9788770228619
ISBN 10: 8770228612
Series: River Publishers Series in Digital Security and Forensics
Pages: 124
Publication Date: 21 December 2023
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

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

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.

PERHAPS A GIFT VOUCHER FOR MUM?: MOTHER'S DAY

Privacy and Security for Mobile Crowdsourcing

Shabnam Sodagari

$200

Hardback

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