云环境下一种低成本的数据安全存储和处理框架

张丽敏

doi:10.11959/j.issn.1000-0801.2015049

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云环境下一种低成本的数据安全存储和处理框架

研究与开发 | 更新时间：2024-06-05

- 云环境下一种低成本的数据安全存储和处理框架
- Low Cost Safety Data Storage and Processing Framework Under Cloud Environment
- 电信科学 2015年31卷第2期页码：46-51
- 作者机构：
- 作者简介：
- 基金信息：
  
  陕西省教育厅2014年科学研究项目;Scientific Research Fund of Shaanxi Provincial Education Department in 2014(14JK2117)
- DOI：10.11959/j.issn.1000-0801.2015049
  中图分类号：
- 网络出版日期：2015-02，
  
  纸质出版日期：2015-02-15
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张丽敏. 云环境下一种低成本的数据安全存储和处理框架[J]. 电信科学, 2015,31(2):46-51.

Limin Zhang. Low Cost Safety Data Storage and Processing Framework Under Cloud Environment[J]. Telecommunication science, 2015, 31(2): 46-51.
张丽敏. 云环境下一种低成本的数据安全存储和处理框架[J]. 电信科学, 2015,31(2):46-51. DOI： 10.11959/j.issn.1000-0801.2015049.

Limin Zhang. Low Cost Safety Data Storage and Processing Framework Under Cloud Environment[J]. Telecommunication science, 2015, 31(2): 46-51. DOI： 10.11959/j.issn.1000-0801.2015049.

摘要

提出了一种基于云计算的数据存储和处理框架，支持用户对大规模数据集进行低成本、安全的共享和处理。该框架研究了基于矩阵的数据挖掘算法，重点是安全的Top-k特征向量算法。该算法采用了一种迭代处理模型，授权用户可以与云端展开交互以获得预期结果，交互过程中源矩阵和中间结果均处于保密状态。另外，基于Paillier加密算法和高效的随机向量扰动策略，实现了新算法的安全性。实验结果表明，提出的方法对大型矩阵具有可拓展性，且客户端成本较低。

Abstract

Cloud-based data storage and processing framework

which enables users can economically and securely share and handle big datasets with low cost

was proposed. The framework studied data mining algorithms based on the matrix

whose focus was the secure Top-k feature vector algorithm. The algorithm used an iterative processing model and the authorized user interacted with the cloud to achieve the expected result. In this process

the interaction of source matrix and intermediate results were kept confidential. In addition

the security of this algorithm was guaranteed by using Paillier encryption and a random perturbation technique. Experimental results show that the proposed method is scalable to big matrices while requiring low client-side costs.

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references

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