面向DaaS应用的数据集成隐私保护机制研究

周志刚; 张宏莉; 余翔湛; 李攀攀

doi:10.11959/j.issn.1000-436x.2016076

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面向DaaS应用的数据集成隐私保护机制研究

学术论文 | 更新时间：2024-06-05

- 面向DaaS应用的数据集成隐私保护机制研究
- Research on data integration privacy preservation mechanism for DaaS
- 通信学报 2016年37卷第4期页码：96-106
- 作者机构：
  
  哈尔滨工业大学计算机网络与信息安全技术研究中心，黑龙江哈尔滨150001
- 作者简介：
  
  [ "周志刚（1986-），男，山西太原人，哈尔滨工业大学博士生，主要研究方向为云安全和信息安全。" ]
  [ "张宏莉（1973-），女，吉林榆树人，哈尔滨工业大学教授、博士生导师，主要研究方向为网络与信息安全、网络测量与建模、网络计算、并行处理等。" ]
  [ "余翔湛（1973-），男，黑龙江哈尔滨人，哈尔滨工业大学教授，主要研究方向为网络容灾和信息安全。" ]
  [ "李攀攀（1983-），男，山东曲阜人，哈尔滨工业大学博士生，主要研究方向为云安全和信息安全。" ]
- 基金信息：
  
  国家重点基础研究发菜计划（“973”计划）基金资助项目(2011CB302605);国家自然科学基金资助项目(61173144);国家自然科学基金资助项目(60903166);国家自然科学基金资助项目(61100188)
- DOI：10.11959/j.issn.1000-436x.2016076
  中图分类号： TP393
- 网络首发：2016-04，
  
  纸质出版：2016-04-25
- 稿件说明：
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周志刚, 张宏莉, 余翔湛, 等. 面向DaaS应用的数据集成隐私保护机制研究[J]. 通信学报, 2016,37(4):96-106.

Zhi-gang ZHOU, Hong-li ZHANG, Xiang-zhan YU, et al. Research on data integration privacy preservation mechanism for DaaS[J]. Journal of Communications, 2016, 37(4): 96-106.
周志刚, 张宏莉, 余翔湛, 等. 面向DaaS应用的数据集成隐私保护机制研究[J]. 通信学报, 2016,37(4):96-106. DOI： 10.11959/j.issn.1000-436x.2016076.

Zhi-gang ZHOU, Hong-li ZHANG, Xiang-zhan YU, et al. Research on data integration privacy preservation mechanism for DaaS[J]. Journal of Communications, 2016, 37(4): 96-106. DOI： 10.11959/j.issn.1000-436x.2016076.

摘要

云计算的出现为多个数据拥有者进行数据集成发布及协同数据挖掘提供了更广阔的平台，在数据即服务模式（DaaS

data as a service）下，集成数据被部署在非完全可信的服务运营商平台上，数据隐私保护成为制约该模式应用和推广的挑战性问题。为防止数据集成时的隐私泄露，提出一种面向 DaaS 应用的两级隐私保护机制。该隐私保护机制独立于具体的应用，将数据属性切分到不同的数据分块中，并通过混淆数据确保数据在各个分块中均衡分布，实现对数据集成隐私保护。通过分析证明该隐私保护机制的合理性，并通过实验验证该隐私保护机制具有较低的计算开销。

Abstract

The emergence of cloud computing provides a broader platform for multiple data owners to make integrated data publishing and collaborative data mining. In data-as-a-service (DaaS) model

integrated data was deployed in a cer-tain cloud platform with an untrusted service provider ta privacy leakage has become the challenge hindering applica-tion and popularization of DaaS model. For protecting privacy in the data integration stage

a two-layer privacy pro-tection mechanism for DaaS-oriented application was given

which was independent ith the specific applications

parti-tioning data attributes into different parts. In addition

the corres ding fake data set was used to assure the balanced distribution of data in each part

which realized privacy protection of data integration. The experimental results indicate that the proposed strategy is feasible

simultaneously has the low computing overhead.

关键词

Keywords

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