Privacy-preserving large-scale systems of linear equations in outsourcing storage and computation

被引：0
|
作者：
Dongmei LI [1 ]
Xiaolei DONG [2 ]
Zhenfu CAO [2 ]
Haijiang WANG [1 ]
机构：
[1] Department of Computer Science and Engineering, Shanghai Jiao Tong University
[2] Shanghai Key Lab of Trustworthy Computing, East China Normal University
来源：
ScienceChina(InformationSciences) | 2018年 / 61卷 / 03期
基金：
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词：
cloud computing; privacy-preserving; linear equations; encryption; security;
D O I：
暂无
中图分类号：
TP309 [安全保密];
学科分类号：
081201 ; 0839 ; 1402 ;
摘要：
Along with the prevalence of cloud computing, it can be realised to efficiently outsource costly storage or computations to cloud servers. Recently, secure outsourcing mechanism has received more and more attention. We focus on secure outsourcing storage and computation for large-scale systems of linear equations(LEs) in this paper. Firstly, we construct a new efficient matrix encryption scheme. Then we exploit this encryption scheme to develop a new algorithm which can implement outsourcing storage and computation for large-scale linear equations in the semi-honest setting. Compared with the previous work,the proposed algorithm requires lower storage overhead and is with competitive efficiency.
引用
收藏
页码：148 / 156
页数：9
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