Privacy preserving approach based on proximity privacy for numerical sensitive attributes
A model based on proximity breach for numerical sensitive attributes is proposed.At first，it divides numerical sensitive value into several intervals on the premise of protecting the internal relations between quasi-identifier attributes and numerical sensitive attributes.Secondly，it proposes a (k，ε...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015093/ |
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| _version_ | 1841539636898299904 |
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| author | Jing XIE Jian-pei ZHANG Jing YANG Bing ZHANG |
| author_facet | Jing XIE Jian-pei ZHANG Jing YANG Bing ZHANG |
| author_sort | Jing XIE |
| collection | DOAJ |
| description | A model based on proximity breach for numerical sensitive attributes is proposed.At first，it divides numerical sensitive value into several intervals on the premise of protecting the internal relations between quasi-identifier attributes and numerical sensitive attributes.Secondly，it proposes a (k，ε)-proximity privacy preserving principle to defense proximity privacy.In the end，a maximal neighborhood first algorithm (MNF) is designed to realize the (k，ε)-proximity.The experiment results show that the proposed model can preserve privacy of sensitive data well meanwhile it can also keep a high data utility and protect the internal relations. |
| format | Article |
| id | doaj-art-230abef534e6489693133688814ac5d1 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-230abef534e6489693133688814ac5d12025-01-14T06:46:11ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-04-01369710459692406Privacy preserving approach based on proximity privacy for numerical sensitive attributesJing XIEJian-pei ZHANGJing YANGBing ZHANGA model based on proximity breach for numerical sensitive attributes is proposed.At first，it divides numerical sensitive value into several intervals on the premise of protecting the internal relations between quasi-identifier attributes and numerical sensitive attributes.Secondly，it proposes a (k，ε)-proximity privacy preserving principle to defense proximity privacy.In the end，a maximal neighborhood first algorithm (MNF) is designed to realize the (k，ε)-proximity.The experiment results show that the proposed model can preserve privacy of sensitive data well meanwhile it can also keep a high data utility and protect the internal relations.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015093/privacy preservingnumerical sensitive attributesproximity privacydiscretization |
| spellingShingle | Jing XIE Jian-pei ZHANG Jing YANG Bing ZHANG Privacy preserving approach based on proximity privacy for numerical sensitive attributes Tongxin xuebao privacy preserving numerical sensitive attributes proximity privacy discretization |
| title | Privacy preserving approach based on proximity privacy for numerical sensitive attributes |
| title_full | Privacy preserving approach based on proximity privacy for numerical sensitive attributes |
| title_fullStr | Privacy preserving approach based on proximity privacy for numerical sensitive attributes |
| title_full_unstemmed | Privacy preserving approach based on proximity privacy for numerical sensitive attributes |
| title_short | Privacy preserving approach based on proximity privacy for numerical sensitive attributes |
| title_sort | privacy preserving approach based on proximity privacy for numerical sensitive attributes |
| topic | privacy preserving numerical sensitive attributes proximity privacy discretization |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015093/ |
| work_keys_str_mv | AT jingxie privacypreservingapproachbasedonproximityprivacyfornumericalsensitiveattributes AT jianpeizhang privacypreservingapproachbasedonproximityprivacyfornumericalsensitiveattributes AT jingyang privacypreservingapproachbasedonproximityprivacyfornumericalsensitiveattributes AT bingzhang privacypreservingapproachbasedonproximityprivacyfornumericalsensitiveattributes |