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 released by a data requester.
This “sensing as a service” elaborates our knowledge of the
physical world by opening up a new door of data collection and
analysis. However, with the expansion of mobile crowdsensing,
privacy issues urgently need to be solved. In this book, we discuss
the research background and current research process of privacy
protection in mobile crowdsensing. In the first chapter, the
background, system model, and threat model of mobile crowdsensing
are introduced. The second chapter discusses the current techniques
to protect user privacy in mobile crowdsensing. Chapter three
introduces the privacy-preserving content-based task allocation
scheme. Chapter four further introduces the privacy-preserving
location-based task scheme. Chapter five presents the scheme of
privacy-preserving truth discovery with truth transparency. Chapter
six proposes the scheme of privacy-preserving truth discovery with
truth hiding. Chapter seven summarizes this monograph and proposes
future research directions. In summary, this book introduces the
following techniques in mobile crowdsensing: 1) describe a
randomizable matrix-based task-matching method to protect task
privacy and enable secure content-based task allocation; 2)
describe a multi-clouds randomizable matrix-based task-matching
method to protect location privacy and enable secure arbitrary
range queries; and 3) describe privacy-preserving truth discovery
methods to support efficient and secure truth discovery. These
techniques are vital to the rapid development of privacy-preserving
in mobile crowdsensing.
General
| Imprint: |
Springer Verlag, Singapore
|
| Country of origin: |
Singapore |
| Release date: |
March 2023 |
| Firstpublished: |
2023 |
| Authors: |
Chuan Zhang
• Tong Wu
• Youqi Li
• Liehuang Zhu
|
| Dimensions: |
235 x 155mm (L x W) |
| Format: |
Hardcover
|
| Pages: |
197 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-981-19-8314-6 |
| Categories: |
Books
|
| LSN: |
981-19-8314-3 |
| Barcode: |
9789811983146 |
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