Lightweight privacy-preserving spatial keyword query over encrypted cloud data

• المؤلفون الرئيسيون: YANG, Yutao, MIAO, Yinbin, CHOO, Kim-Kwang Raymond, DENG, Robert H.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2022
• الموضوعات: Cloud servers; Keyword queries; Large amounts; Outsourcing data; Privacy preserving; Query schemes; Scalar product; Spatial keyword query; Spatio-textual data; Textual data; Computational Engineering
• الوصول للمادة أونلاين: 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
• المؤسسة: 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...