面向DaaS应用的数据集成隐私保护机制研究

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

Abstract

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.

Key words: cloud security, data as a service, privacy protection, anonymity

Zhi-gang ZHOU,Hong-li ZHANG,Xiang-zhan YU,Pan-pan LI. Research on data integration privacy preservation mechanism for DaaS[J]. Journal on Communications, 2016, 37(4): 96-106.

Figures/Tables 8

$\frac{\ln f o_l o s e (%)}{r e l a_l o s e (%)}$	多轮加细匿名算法	DkA算法
10	$\frac{3.7}{0.3}$	$\frac{5.2}{1.8}$
20	$\frac{6.8}{0.5}$	$\frac{9.4}{3.1}$
30	$\frac{9.1}{0.6}$	$\frac{13.6}{5.1}$
40	$\frac{11.3}{0.8}$	$\frac{18.7}{8.2}$
50	$\frac{12.7}{0.5}$	$\frac{22.6}{10.4}$

References 19

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	Shared	Party S₁	Party S₂
ID	Class	a₁a₂	a₃	a₄
1	hard	youngnormal	myope	yes
2	hard	oldreduced	myope	no
3	hard	youngnomal	myope	yes
4	none	youngreduced	hyperope	no
5	none	youngreduced	hyperope	no
6	soft	youngmore	hyperope	no
7	none	youngreduced	hyperope	no
8	soft	youngmore	hyperope	no
9	hard	oldreduced	myope	no

Research on data integration privacy preservation mechanism for DaaS

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