Privacy-preserving data aggregation based on ECC

被引：0

作者：

Qian, Ping ^{[1
,2
]}

Wu, Meng ^{[3
]}

机构：

[1] School of Computer Science, Nanjing University of Posts and Telecommunications

[2] School of Computer Science and Technology, Jiangsu University of Science and Technology

[3] School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications

来源：

Journal of Computational Information Systems | 2014年 / 10卷 / 04期

关键词：

Data aggregation; Ecc homomorphic encryption; Privacy preservation;

D O I：

10.12733/jcis9106

中图分类号：

学科分类号：

摘要：

Data aggregation is widely used in applications such as wireless sensor networks (WSN), data mining and cloud computing. Data aggregation can help to save energy consumption and improve efficiency of data collection and procession. A great challenge to data aggregation is how to protect private information of each participant from disclosing during aggregating process as well as obtain accurate aggregated results. In recent years researchers have done much work on privacy-preserving during data aggregation. This paper surveys the general privacy-preserving methods for data aggregation and analyzes their theories and characteristics. A privacy-preserving method based on ECC homomorphic encryption is presented in this paper, which can protect data privacy from disclosing to other participants, illegal users or even aggregators. Experiment data shows that the method has advantages in energy consumption and privacy protection, compared to current methods. © 2014 Binary Information Press.

引用

页码：1341 / 1348

页数：7

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