Efficient and Privacy-Preserving Polygons Spatial Query Framework for Location-Based Services

Author:

Zhu HuiORCID,Liu Fen,Li Hui

Funder

National Natural Science Foundation of China

Research Foundations for the Central Universities of China

China 111 Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Cited by 42 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. A survey on privacy and security issues in IoT-based environments: Technologies, protection measures and future directions;Computers & Security;2025-01

2. Achieving Privacy-Preserving Trajectory Query in Geospatial Information Systems With Outsourced Cloud;IEEE Transactions on Services Computing;2024-07

3. PPT-LBS: Privacy-preserving top-k query scheme for outsourced data of location-based services;Cyber Security and Applications;2023-12

4. Preserving Location Privacy in the Modern Era of Pervasive Environments;2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA);2023-11-01

5. RASK: Range Spatial Keyword Queries on Massive Encrypted Geo-Textual Data;IEEE Transactions on Services Computing;2023-09

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