Comprehensive survey on privacy-preserving spatial data query in transportation systems

• Main Authors: MIAO, Yinbin, YANG, Yutao, LI, Xinghua, MENG, Xiangdong, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Spatial data; privacy leakage; location and keywords; spatial data query; Information Security; Numerical Analysis and Scientific Computing; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/8185
• Institution: Singapore Management University

With the rapid development of Intelligent Transportation System (ITS), a large number of spatial data are generated in ITS. Although outsourcing spatial data to the cloud server can reduce the high local computation and storage overheads, it will also lead to security and privacy issues. Therefore,...