Privacy-Preserving in Mobile Crowdsensing [E-Book] / by Chuan Zhang, Tong Wu, Youqi Li, Liehuang Zhu.
Mobile crowdsensing is a new sensing paradigm that utilizes the intelligence of a crowd of individuals to collect data for mobile purposes by using their portable devices, such as smartphones and wearable devices. Commonly, individuals are incentivized to collect data to fulfill a crowdsensing task...
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Full text |
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Personal Name(s): | Zhang, Chuan, author |
Li, Youqi, author / Wu, Tong, author / Zhu, Liehuang, author | |
Edition: |
1st edition 2023. |
Imprint: |
Singapore :
Springer,
2023
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Physical Description: |
XVII, 197 pages 1 illustration (online resource) |
Note: |
englisch |
ISBN: |
9789811983153 |
DOI: |
10.1007/978-981-19-8315-3 |
Subject (LOC): |
- Part I. Overview and Basic Concept of Mobile Crowdsensing Technology
- Chapter 1. Introduction
- Chapter 2. Overview of Mobile Crowdsensing Technology
- Part II. Privacy-Preserving Task Allocation
- Chapter 3. Privacy-Preserving Content based Task Allocation
- Chapter 4. Privacy-Preserving Location based Task Allocation
- Part III. Privacy-Preserving Truth Discovery
- Chapter 5. Privacy-Preserving Truth Discovery with Truth Transparency
- Chapter 6. Privacy-Preserving Truth Discovery with Truth Hiding
- Chapter 7. Privacy-Preserving Truth Discovery with Task Hiding
- Part IV. Summary and Future Research Directions
- Chapter 8. Summary.