A Reinforcement Learning-based Task Classification Mechanism for Privacy-Enhanced Mobile Crowdsensing Strategy-Reference-Cited by-同舟云学术

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A Reinforcement Learning-based Task Classification Mechanism for Privacy-Enhanced Mobile Crowdsensing Strategy

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)
language:
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Author:

Peng Mengyao¹,Lin Hui¹,Wang Xiaoding¹

Affiliation:

1. College of Computer and Cyber Security, Fujian Normal University, Engineering Research Center of Cyber Security and Education Informatization, Fujian Province University,Fuzhou,Fujian,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9719586/9718803/09719671.pdf?arnumber=9719671

Reference23 articles.

1. A Blockchain-Based Secure Data Aggregation Strategy Using Sixth Generation Enabled Network-in-Box for Industrial Applications

2. Optimizing Task Location Privacy in Mobile Crowdsensing Systems

3. A Differential Private Mechanism to Protect Trajectory Privacy in Mobile Crowd-Sensing

4. A Differential Game Model for Data Utility and Privacy-Preserving in Mobile Crowdsensing

5. ELPPS: An Enhanced Location Privacy Preserving Scheme in Mobile Crowd-Sensing Network Based on Edge Computing

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multiple heterogeneous cluster-head-based secure data collection in mobile crowdsensing environment;The Journal of Supercomputing;2024-08-07

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