| 書目名稱 | Privacy-Preserving in Mobile Crowdsensing |
| 編輯 | Chuan Zhang,Tong Wu,Liehuang Zhu |
| 視頻video | http://file.papertrans.cn/757/756074/756074.mp4 |
| 概述 | Broadens readers’ understanding of privacy preserving in mobile crowdsensing.Summarizes techniques to tackle privacy issues in mobile crowdsensing.Offers effective solutions for privacy-preserving tas |
| 圖書封面 |  |
| 描述 | .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 fourfurther 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-p |
| 出版日期 | Book 2023 |
| 關鍵詞 | Mobile crowdsensing; privacy protection; data collection; data analysis; task allocation; truth discovery |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-19-8315-3 |
| isbn_softcover | 978-981-19-8317-7 |
| isbn_ebook | 978-981-19-8315-3 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
|Archiver|手機版|小黑屋|
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