A New Secured Cloud Computing Service: A Case Study of Large Scale Linear Regression

被引：0
|
作者：
Ferdush, Jannatul [1 ]
Hashem, M. M. A. [2 ]
机构：
[1] Jessore Univ Sci & Technol, Dept Comp Sci & Engn, Jessore 7408, Bangladesh
[2] Khulna Univ Engn & Technol, Dept Comp Sci & Engn, Khula 9203, Bangladesh
来源：
2018 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION & COMMUNICATION TECHNOLOGY (ICEEICT) | 2018年
关键词：
Cloud Computing; Computation Outsourcing; Linear Regression; Prediction; Hiding Dimension; SYSTEMS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cloud Computing opens new door for the resource-contraints clients to reduce their burden of computation by outsourcing the computation. On the other hand, it is very expensive to compute the large scale linear regression locally but it has great advantages on statistics, economics and data analysis. So, in this paper we are motivated to design a protocol to securely outsourcing of large scale linear regression(LR) to cloud. We use the idea of permutation and padding techniques to hide the original inputs. Compared with previous outsourcing schema, our protocol is efficient with more secured and low complexity.
引用
收藏
页码：385 / 389
页数：5
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