期刊论文详细信息
| Open Physics | |
| A privacy-preserving parallel and homomorphic encryption scheme | |
| Yang Geng1  Min Zhaoe2  Shi Jingqi2  | |
| [1] Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing, 210003, China;School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China; | |
| 关键词: privacy protection; homomorphic encryption; parallel encryption; parallel homomorphic encryption; cloud computing; mapreduce; 9.70.-a; 89.70.eg; | |
| DOI : 10.1515/phys-2017-0014 | |
| 来源: DOAJ | |
【 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.
【 授权许可】
Unknown