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Mobile Crowdsourcing

Overview of attention for book
Cover of 'Mobile Crowdsourcing'

Table of Contents

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    Book Overview
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    Chapter 1 Crowdsourcing as a Future Collaborative Computing Paradigm
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    Chapter 2 Urban Mobility-Driven Crowdsensing: Recent Advances in Machine Learning Designs and Ubiquitous Applications
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    Chapter 3 Unknown Worker Recruitment in Mobile Crowdsourcing
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    Chapter 4 Quality-Aware Incentive Mechanism for Mobile Crowdsourcing
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    Chapter 5 Incentive Mechanism Design for Mobile Crowdsourcing Without Verification
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    Chapter 6 Stable Worker–Task Assignment in Mobile Crowdsensing Applications
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    Chapter 7 Spatiotemporal Task Allocation in Mobile Crowdsensing
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    Chapter 8 Joint Data Collection and Truth Inference in Spatial Crowdsourcing
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    Chapter 9 Cost-Quality Aware Compressive Mobile Crowdsensing
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    Chapter 10 Information Integrity in Participatory Crowd-Sensing via Robust Trust Models
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    Chapter 11 AI-Driven Attack Modeling and Defense Strategies in Mobile Crowdsensing: A Special Case Study on Fake Tasks
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    Chapter 12 Traceable and Secure Data Sharing in Mobile Crowdsensing
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    Chapter 13 User Privacy Protection in MCS: Threats, Solutions, and Open Issues
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    Chapter 14 Crowdsourcing Through TinyML as a Way to Engage End-Users in IoT Solutions
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    Chapter 15 Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health Intelligence
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    Chapter 16 Crowdsourcing Applications and Techniques in Computer Vision
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    Chapter 17 Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study
Attention for Chapter 13: User Privacy Protection in MCS: Threats, Solutions, and Open Issues
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Chapter title
User Privacy Protection in MCS: Threats, Solutions, and Open Issues
Chapter number 13
Book title
Mobile Crowdsourcing
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-32397-3_13
Book ISBNs
978-3-03-132396-6, 978-3-03-132397-3
Authors

Wang, Zhibo, Pang, Xiaoyi, Sun, Peng, Hu, Jiahui

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 100%
Readers by discipline Count As %
Computer Science 1 100%