Results 1 to 10 of about 164,582 (257)

Achieve Location Privacy-Preserving Range Query in Vehicular Sensing [PDF]

Sensors, 2017
Modern vehicles are equipped with a plethora of on-board sensors and large on-board storage, which enables them to gather and store various local-relevant data.
Qinglei Kong, Rongxing Lu, Maode Ma, Haiyong Bao   +3 more
doaj   +2 more sources

Collusion-Aware Privacy-Preserving Range Query in Tiered Wireless Sensor Networks [PDF]

Sensors, 2014
Wireless sensor networks (WSNs) are indispensable building blocks for the Internet of Things (IoT). With the development of WSNs, privacy issues have drawn more attention.
Xiaoying Zhang, Lei Dong, Hui Peng, Hong Chen, Suyun Zhao, Cuiping Li   +5 more
doaj   +2 more sources

Quantum Privacy-Preserving Range Query Protocol for Encrypted Data in IoT Environments [PDF]

Sensors
With the rapid development of IoT technology, securely querying sensitive data collected by devices within a specific range has become a focal concern for users.
Chong-Qiang Ye, Jian Li, Xiao-Yu Chen
doaj   +2 more sources

Order-Hiding Range Query Over Encrypted Cloud Data

IEEE Access, 2022
Range query on encrypted data has been widely studied to achieve fast query processing while keeping data and queries secret. Prior work hides even the ordering information of the data, but sacrifices accuracy (e.g., false positives) and efficiency (e.g.,
Hyunsoo Kwon, Junbeom Hur, Changhee Hahn
doaj   +1 more source

Hierarchical Quadrant Spatial LSM Tree for Indexing Blockchain-Based Geospatial Point Data

IEEE Access, 2023
Blockchain technology is attracting attention for its high usability in various fields such as IoT and healthcare, and it is being used as an alternative to distributed databases.
Junghyun Lee, Taehyeon Kwon, Minjun Seo, Sungwon Jung   +3 more
doaj   +1 more source

PriRanGe: Privacy-Preserving Range-Constrained Intersection Query Over Genomic Data

, 2022
Genomic data is being produced rapidly by both individuals and enterprises, and outsourcing this ever-increasing data into clouds is promising for cutting the cost of data owners and mining the wealth of genomic data at a larger scale.
Tong, Y, Yi, Y, Yaxi Yang, Yang, Y, Leo Yu Zhang, Lu, R, Yao Tong, Zhang, LY, Rongxing Lu, Jian Weng, Yufeng Yi, Weng, J, Yandong Zheng, Zheng, Y   +13 more
core   +3 more sources

A Unified Approach to Spatial Proximity Query Processing in Dynamic Spatial Networks

Sensors, 2021
Nearest neighbor (NN) and range (RN) queries are basic query types in spatial databases. In this study, we refer to collections of NN and RN queries as spatial proximity (SP) queries.
Hyung-Ju Cho
doaj   +1 more source

CPRQ: Cost Prediction for Range Queries in Moving Object Databases

ISPRS International Journal of Geo-Information, 2021
Predicting query cost plays an important role in moving object databases. Accurate predictions help database administrators effectively schedule workloads and achieve optimal resource allocation strategies.
Shengnan Guo, Jianqiu Xu
doaj   +1 more source

SLBRIN: A Spatial Learned Index Based on BRIN

ISPRS International Journal of Geo-Information, 2023
The spatial learned index constructs a spatial index by learning the spatial distribution, which performs a lower cost of storage and query than the spatial indices.
Lijun Wang, Linshu Hu, Chenhua Fu, Yuhan Yu, Peng Tang, Feng Zhang, Renyi Liu   +6 more
doaj   +1 more source

Mapreduce-Based Distributed Clustering Method Using CF⁺ Tree

IEEE Access, 2020
Clustering exceptionally large data sets is becoming a major challenge in data analytics with the continuous increase in their size. Summary-based clustering methods and distributed computing frameworks such as MapReduce can efficiently handle this ...
Hyeong-Cheol Ryu, Sungwon Jung
doaj   +1 more source