Privacy-preserving arbitrary geometric range query in mobile Internet of Vehicles
The mobile Internet of Vehicles (IoVs) has great potential for intelligent transportation, and creates spatial data query demands to realize the value of data. Outsourcing spatial data to a cloud server eliminates the need for local computation and storage, but it leads to data security and privacy...
Saved in:
Main Authors: | MIAO, Yinbin, SONG, Lin, LI, Xinghua, LI, Hongwei, CHOO, Kim-Kwang Raymond, DENG, Robert H. |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8482 https://ink.library.smu.edu.sg/context/sis_research/article/9485/viewcontent/Privacy_Preserving_AGR_IoV_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Efficient privacy-preserving spatial data query in cloud computing
by: MIAO, Yinbin, et al.
Published: (2024) -
Lightweight privacy-preserving spatial keyword query over encrypted cloud data
by: YANG, Yutao, et al.
Published: (2022) -
Search me in the dark: Privacy-preserving Boolean range query over encrypted spatial data
by: WANG, Xiangyu, et al.
Published: (2020) -
Efficient and privacy-preserving encode-based range query over encrypted cloud data
by: LIANG, Yanrong, et al.
Published: (2024) -
Efficient privacy-preserving spatial range query over outsourced encrypted data
by: MIAO, Yinbin, et al.
Published: (2023)