Research and Implementation of Query Privacy Protection for Spatio-temporal Data Based on Spark

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Qian, Lin^1 ; Pang, Hengmao^1 ; Mei, Zhu^1 ; Yu, Jun^1 ; Zhu, Guangxin^1 ; Bu, Min^1 ; Wang, Lin^1

State Grid Electric Power Research Institute (SGEPRI), Nanjing, China^1

关键词: Communication cost;    Data space;    Large amounts;    Query algorithms;    Query privacy;    Server execution;    Spatio-temporal data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032137/pdf
DOI  :  10.1088/1757-899X/452/3/032137

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The traditional CPIR algorithm needs to scan the whole data space with a large amount of computation so it's not suitable for big data. This thesis proposes that the parallel grouping range privacy query algorithm based on Spark. The range privacy query algorithm divides the grid into different groups in order to reduce the amount of computing and parallellzing computation to improve the efficiency based on Spark. It has a big improvement on server execution time, client execution time and communication cost.