PRIVACYGRID: Supporting Anonymous Location Queries in Mobile Environments
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Defense Technical Information Center
Cited by 29 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. Enhancing the Privacy Protection in Locations-based Services through Hybrid LSTM;2022 IEEE International Conference on Current Development in Engineering and Technology (CCET);2022-12-23
2. An Approach for Efficient and Secure Data Encryption Scheme for Spatial Data;SN Computer Science;2020-04-10
3. pRide;Proceedings of the International Symposium on Quality of Service;2019-06-24
4. PrivSem: Protecting location privacy using semantic and differential privacy;World Wide Web;2019-04-27
5. Reversible spatio-temporal perturbation for protecting location privacy;Computer Communications;2019-02
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