A privacy-preserving parallel and homomorphic encryption scheme

被引：5
|
作者：
Min, Zhaoe [1 ]
Yang, Geng [2 ]
Shi, Jingqi [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210003, Jiangsu, Peoples R China
[2] Jiangsu Key Lab Big Data Secur & Intelligent Proc, Nanjing 210003, Jiangsu, Peoples R China
来源：
OPEN PHYSICS | 2017年 / 15卷 / 01期
基金：
中国国家自然科学基金;
关键词：
privacy protection; homomorphic encryption; parallel encryption; parallel homomorphic encryption; cloud computing; MapReduce;
D O I：
10.1515/phys-2017-0014
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In order to protect data privacy whilst allowing efficient access to data in multi-nodes cloud environments, a parallel homomorphic encryption (PHE) scheme is proposed based on the additive homomorphism of the Paillier encryption algorithm. In this paper we propose a PHE algorithm, in which plaintext is divided into several blocks and blocks are encrypted with a parallel mode. Experiment results demonstrate that the encryption algorithm can reach a speed-up ratio at about 7.1 in the MapReduce environment with 16 cores and 4 nodes.
引用
收藏
页码：135 / 142
页数：8
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