Achieving k-anonymity in privacy-aware location-based services

Author:

Niu Ben,Li Qinghua,Zhu Xiaoyan,Cao Guohong,Li Hui

Publisher

IEEE

Cited by 325 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. Location Privacy Protection Method with Route Constraints;2024 33rd International Conference on Computer Communications and Networks (ICCCN);2024-07-29

2. Learning from the History: Accurately and Efficiently Aggregating Geospatial Data Under Local Differential Privacy;2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS);2024-07-23

3. On the effectiveness of differential privacy to continuous queries;Service Oriented Computing and Applications;2024-05-01

4. A hierarchical distributed trusted location service achieving location k-anonymity against the global observer;Computer Networks;2024-04

5. Data-Driven Framework for Generating Travelers with Demographic-Activity-Travel Information;Transportation Research Record: Journal of the Transportation Research Board;2024-02-25

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