Research on data integration privacy preservation mechanism for DaaS
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 h...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016076/ |
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| _version_ | 1841539574321381376 |
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| author | Zhi-gang ZHOU Hong-li ZHANG Xiang-zhan YU Pan-pan LI |
| author_facet | Zhi-gang ZHOU Hong-li ZHANG Xiang-zhan YU Pan-pan LI |
| author_sort | Zhi-gang ZHOU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-51e71aad2d8c41d29089c083f5bc0d89 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-51e71aad2d8c41d29089c083f5bc0d892025-01-14T06:55:14ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-04-01379610659700432Research on data integration privacy preservation mechanism for DaaSZhi-gang ZHOUHong-li ZHANGXiang-zhan YUPan-pan LIThe 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016076/cloud securitydata as a serviceprivacy protectionanonymity |
| spellingShingle | Zhi-gang ZHOU Hong-li ZHANG Xiang-zhan YU Pan-pan LI Research on data integration privacy preservation mechanism for DaaS Tongxin xuebao cloud security data as a service privacy protection anonymity |
| title | Research on data integration privacy preservation mechanism for DaaS |
| title_full | Research on data integration privacy preservation mechanism for DaaS |
| title_fullStr | Research on data integration privacy preservation mechanism for DaaS |
| title_full_unstemmed | Research on data integration privacy preservation mechanism for DaaS |
| title_short | Research on data integration privacy preservation mechanism for DaaS |
| title_sort | research on data integration privacy preservation mechanism for daas |
| topic | cloud security data as a service privacy protection anonymity |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016076/ |
| work_keys_str_mv | AT zhigangzhou researchondataintegrationprivacypreservationmechanismfordaas AT honglizhang researchondataintegrationprivacypreservationmechanismfordaas AT xiangzhanyu researchondataintegrationprivacypreservationmechanismfordaas AT panpanli researchondataintegrationprivacypreservationmechanismfordaas |