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...

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Bibliographic Details
Main Authors:	Zhang, Chu'an (Author), Zhang, Chuan (Author, http://id.loc.gov/vocabulary/relators/aut), Li, Youqi (http://id.loc.gov/vocabulary/relators/aut), Wu, Tong (http://id.loc.gov/vocabulary/relators/aut), Zhu, Liehuang (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author:	SpringerLink (Online service)
Format:	Book
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023 Singapore : Springer Nature Singapore Pte Ltd., [2023]
Edition:	1st ed. 2023
Series:	Computer Science (SpringerNature-11645)
Subjects:	Computer networks > Security measures Computer networks-Security measures Computer security Cryptography Data encryption (Computer science) Data mining Data protection Data protection-Law and legislation Mobile computing Privacy Cryptology Data Mining and Knowledge Discovery Mobile Computing Mobile and Network Security Security Services

Table of Contents:

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

Privacy-preserving in mobile crowdsensing /

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