Efficient privacy-preserving spatial data query in cloud computing

• Main Authors: MIAO, Yinbin, YANG, Yutao, LI, Xinghua, WEI, Linfeng, LIU, Zhiquan, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Cloud server; privacy-preserving; query range; security issues; spatial data; Information Security; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/8617; https://ink.library.smu.edu.sg/context/sis_research/article/9620/viewcontent/Eff_Privacy_Preser_TKDE_av.pdf
• Institution: Singapore Management University

With the rapid development of geographic location technology and the explosive growth of data, a large amount of spatial data is outsourced to the cloud server for reducing the local high storage and computing burdens, but at the same time causes security issues. Thus, extensive privacy-preserving s...