吉林大学学报（理学版）2017，Vol.55Issue(4)：940-946,7.DOI:10.13413/j.cnki.jdxblxb.2017.04.28
一种新的高维稠密数据隐私保护算法
A New Privacy Preserving Algorithm for High Dimensional Dense Data
摘要
Abstract
Aiming at the problem of the curse of dimensionality in privacy preserving data mining,we proposed a privacy preserving algorithm based on the technique of random projection.We defined the concept of l projection perturbation and Prevent-Ω data set,and constructed a sparse projection data perturbation based on projection dimension of different projection matrix sparsity corresponding changes,which increased the security of data.The experimental results show that this method can effectively guarantee the quality of data in data mining applications under the premise of protecting data privacy.关键词
数据隐私保护/高维稠密数据/l投影/Prevent-Ω数据集Key words
data privacy protection/high dimensional dense data/l projection/Prevent-Ω data set分类
信息技术与安全科学引用本文复制引用
朱献文,孙伟..一种新的高维稠密数据隐私保护算法[J].吉林大学学报（理学版）,2017,55(4):940-946,7.基金项目
河南省重点科技攻关项目(批准号:152102210023). （批准号:152102210023）
