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Privacy-Preserving in Mobile Crowdsensing

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...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Zhang, Chuan (Зохиогч), Wu, Tong (Зохиогч), Li, Youqi (Зохиогч), Zhu, Liehuang (Зохиогч)
Байгууллагын зохиогч: SpringerLink (Online service)
Формат: Цахим Цахим ном
Хэл сонгох:англи
Хэвлэсэн: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Хэвлэл:1st ed. 2023.
Нөхцлүүд:
Data protection > Law and legislation.
Computer networks > Security measures.
Mobile computing.
Data protection.
Cryptography.
Data encryption (Computer science).
Data mining.
Privacy.
Mobile and Network Security.
Mobile Computing.
Security Services.
Cryptology.
Data Mining and Knowledge Discovery.
Онлайн хандалт:https://doi.org/10.1007/978-981-19-8315-3
Шошгууд: Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
Агуулга:
  • 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.

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