0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R2,500 - R5,000 (1)
  • -
Status
Brand

Showing 1 - 1 of 1 matches in All Departments

Privacy-Preserving in Mobile Crowdsensing (Hardcover, 1st ed. 2023): Chuan Zhang, Tong Wu, Youqi Li, Liehuang Zhu Privacy-Preserving in Mobile Crowdsensing (Hardcover, 1st ed. 2023)
Chuan Zhang, Tong Wu, Youqi Li, Liehuang Zhu
R4,260 Discovery Miles 42 600 Ships in 12 - 17 working days

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.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Mother's Choice ABC Bandana Bibs (3pcs…
R499 R399 Discovery Miles 3 990
How Did We Get Here? - A Girl's Guide to…
Mpoomy Ledwaba Paperback  (1)
R290 R195 Discovery Miles 1 950
Loot
Nadine Gordimer Paperback  (2)
R205 R164 Discovery Miles 1 640
An Evening With Silk Sonic
Bruno Mars, Anderson .Paak, … CD  (2)
R286 R246 Discovery Miles 2 460
Genuine Leather Wallet With Clip Closure…
R299 R246 Discovery Miles 2 460
Brother LC472XLY Ink Cartridge (Yellow…
R449 R419 Discovery Miles 4 190
Croxley Create Pencil Crayons (12 Pack)
 (1)
R30 Discovery Miles 300
Loot
Nadine Gordimer Paperback  (2)
R205 R164 Discovery Miles 1 640
By Way Of Deception
Amir Tsarfati, Steve Yohn Paperback  (1)
R250 R185 Discovery Miles 1 850
Samsung 870 EVO 500GB 2.5" SATA SSD
 (3)
R1,699 R1,373 Discovery Miles 13 730

 

Partners