Lightweight Privacy-Preserving Spatial Keyword Query over Encrypted Cloud Data
Author:
Affiliation:
1. Xidian University,School of Cyber Engineering,Xi’an,China
2. University of Texas at San Antonio,Department of Information Systems and Cyber Security,San Antonio,USA
3. Singapore Management University,School of Information Systems,Singapore
Funder
National Natural Science Foundation of China
Research and Development
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9912136/9912128/09912237.pdf?arnumber=9912237
Reference29 articles.
1. Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants
2. LuxGeo: Efficient and Secure Enhanced Geometric Range Queries
3. Privacy-Preserving Spatio-Temporal Keyword Search for Outsourced Location-Based Services
4. Taxi Demand Forecasting: A HEDGE-Based Tessellation Strategy for Improved Accuracy
5. Forecasting Supply in Voronoi Regions for App-Based Taxi Hailing Services
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1. Enabling Efficient Privacy-Preserving Spatiotemporal Location-Based Services for Smart Cities;IEEE Internet of Things Journal;2024-02-01
2. Efficient Privacy-Preserving Spatial Data Query in Cloud Computing;IEEE Transactions on Knowledge and Data Engineering;2024-01
3. Comprehensive Survey on Privacy-Preserving Spatial Data Query in Transportation Systems;IEEE Transactions on Intelligent Transportation Systems;2023-12
4. RASK: Range Spatial Keyword Queries on Massive Encrypted Geo-Textual Data;IEEE Transactions on Services Computing;2023-09
5. Secure kNN query of outsourced spatial data using two-cloud architecture;The Journal of Supercomputing;2023-06-20
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