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

被引：0
|
作者：
Dongmei Li
Xiaolei Dong
Zhenfu Cao
Haijiang Wang
机构：
[1] Shanghai Jiao Tong University,Department of Computer Science and Engineering
[2] East China Normal University,Shanghai Key Lab of Trustworthy Computing
来源：
Science China Information Sciences | 2018年 / 61卷
关键词：
cloud computing; privacy-preserving; linear equations; encryption; security;
D O I：
暂无
中图分类号：
学科分类号：
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.
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