A Task-based Personalized Privacy-Preserving Participant Selection Mechanism for Mobile Crowdsensing-Reference-Cited by-同舟云学术

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A Task-based Personalized Privacy-Preserving Participant Selection Mechanism for Mobile Crowdsensing

Published:2023-03-07 Issue: Volume: Page:
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Zheng Lele,Zhang Tao^ORCID,Shen Yulong,Deng Bowen,Tong Ze

Funder

National Key R&D Program of China

Key Research and Development Program of Shaanxi

Innovation Capability Support Program of Shaanxi

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-023-02100-2.pdf

Reference27 articles.

1. Zhao C, Yang S, Yan P, Yang Q, Yang X, McCann J (2018) Data quality guarantee for credible caching device selection in mobile crowdsensing systems. IEEE Wirel Commun 25(3):58–64

2. Ni J, Zhang K, Yu Y, Lin X, Shen XS (2018) Providing task allocation and secure deduplication for mobile crowdsensing via fog computing. IEEE Trans Depend Secure Comput 17(3):581–594

3. Xiong J, Zhao M, Bhuiyan MZA, Chen L, Tian Y (2019) An ai-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of iot. IEEE Trans Industr Inf 17(2):922–933

4. Xiong J, Ma R, Chen L, Tian Y, Li Q, Liu X, Yao Z (2019) A personalized privacy protection framework for mobile crowdsensing in iiot. IEEE Trans Industr Inf 16(6):4231–4241

5. Hu Y, Dai G, Fan J, Wu Y, Zhang H (2016) Blueaer: A fine-grained urban pm2.5 3d monitoring system using mobile sensing. In: IEEE Conference on Computer Communications (IEEE INFOCOM), pp 1–9. https://doi.org/10.1109/INFOCOM.2016.7524479

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