Traceable and Secure Data Sharing in Mobile Crowdsensing

Jinwen Liang; Song Guo

doi:10.1007/978-3-031-32397-3_12

Traceable and Secure Data Sharing in Mobile Crowdsensing

Jinwen Liang^*, Song Guo

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Book Chapter › peer-review

Abstract

In mobile crowdsensing, a crowd of mobile devices collect data and utilize cloud infrastructures to share data with others. However, as the cloud server is not always honest, sharing the collected data without protection may arise privacy concerns such as privacy leakage, unauthorized access, and secret key abuse. As a result, it is desirable to design data sharing schemes with traceability and security. In this chapter, we first introduce the background of security issues in mobile crowdsensing. Then, we review and compare several existing secure data sharing schemes in mobile crowdsensing. After that, a Traceable and privacy-preserving non-Interactive Data Sharing (TIDS) scheme is described as an example. Finally, we show the future research topics of traceable and secure data sharing schemes in mobile crowdsensing.

Original language	English
Title of host publication	Wireless Networks (United Kingdom)
Publisher	Springer Nature
Pages	299-320
Number of pages	22
DOIs	https://doi.org/10.1007/978-3-031-32397-3_12
Publication status	Published - 2023
Externally published	Yes

Publication series

Name	Wireless Networks (United Kingdom)
Volume	Part F1100
ISSN (Print)	2366-1186
ISSN (Electronic)	2366-1445

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Data sharing
Mobile crowdsensing
Security
Traceable

Access to Document

10.1007/978-3-031-32397-3_12

Cite this

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AB - In mobile crowdsensing, a crowd of mobile devices collect data and utilize cloud infrastructures to share data with others. However, as the cloud server is not always honest, sharing the collected data without protection may arise privacy concerns such as privacy leakage, unauthorized access, and secret key abuse. As a result, it is desirable to design data sharing schemes with traceability and security. In this chapter, we first introduce the background of security issues in mobile crowdsensing. Then, we review and compare several existing secure data sharing schemes in mobile crowdsensing. After that, a Traceable and privacy-preserving non-Interactive Data Sharing (TIDS) scheme is described as an example. Finally, we show the future research topics of traceable and secure data sharing schemes in mobile crowdsensing.

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KW - Security

KW - Traceable

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ER -

Traceable and Secure Data Sharing in Mobile Crowdsensing

Abstract

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Keywords

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