Privacy-Preserving in Mobile Crowdsensing
Chuan Zhang, Tong Wu, Youqi Li, Liehuang Zhu

Informasi Umum

Kode

24.21.1877

Klasifikasi

005.2 - Programming for specific types of computers, for specific operating systems, for specific user interfaces

Jenis

Buku - Elektronik (E-Book)

Subjek

Mobile Application

No. Rak

Tel-U Gedung Manterawu Lantai 5 : Rak 2
Tel-U Purwokerto : Rak 2

Dilihat

99 kali

Informasi Lainnya

Abstraksi

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-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.

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Pengarang

Nama	Chuan Zhang, Tong Wu, Youqi Li, Liehuang Zhu
Jenis	Perorangan
Penyunting
Penerjemah

Penerbit

Nama	Springer Singapore
Kota	Singapore
Tahun	2023

Sirkulasi

Harga sewa	IDR 0,00
Denda harian	IDR 0,00
Jenis	Non-Sirkulasi

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