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

Author:

Gao Hongjie,Xu HaitaoORCID,Zhang LongORCID,Zhou Xianwei

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Hebei Province

Research Program for Top-Notch Young Talents in Higher Education Institutions of Hebei Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 9 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. Game-theoretic analytics for privacy preservation in Internet of Things networks: A survey;Engineering Applications of Artificial Intelligence;2024-07

2. Research on differential privacy protection method based on user tendency;PLOS ONE;2023-10-26

3. BSIF: Blockchain-Based Secure, Interactive, and Fair Mobile Crowdsensing;IEEE Journal on Selected Areas in Communications;2022-12

4. Trends for Mobile IoT Crowdsourcing Privacy and Security in the Big Data Era;IEEE Transactions on Technology and Society;2022-09

5. A Reinforcement Learning-based Task Classification Mechanism for Privacy-Enhanced Mobile Crowdsensing Strategy;2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS);2021-12

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