Lightweight privacy-preserving spatial keyword query over encrypted cloud data

• Main Authors: YANG, Yutao, MIAO, Yinbin, CHOO, Kim-Kwang Raymond, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Cloud servers; Keyword queries; Large amounts; Outsourcing data; Privacy preserving; Query schemes; Scalar product; Spatial keyword query; Spatio-textual data; Textual data; Computational Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7588; https://ink.library.smu.edu.sg/context/sis_research/article/8591/viewcontent/Lightweight_privacy_preserving_spatial_keyword_query_over_encrypted_cloud_data.pdf
• Institution: Singapore Management University

With the rapid development of geographic location technology and the explosive growth of data, a large amount of spatio-textual data is outsourced to the cloud server to reduce the local high storage and computing burdens, but at the same time causes security issues such as data privacy leakage. Thu...