Clustering-based dynamic privacy preserving method for social networks
Due to the dynamic characteristics of the social network graph structure,an effective dynamic privacy preserving method was needed.To solve the problems of the existing dynamic privacy preservation methods,such as attacker’s too little background knowledge and the low adaptability to the dynamic cha...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015290/ |
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| _version_ | 1841539559730446336 |
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| author | Yong-hao GU Jiu-chuan LIN Da GUO |
| author_facet | Yong-hao GU Jiu-chuan LIN Da GUO |
| author_sort | Yong-hao GU |
| collection | DOAJ |
| description | Due to the dynamic characteristics of the social network graph structure,an effective dynamic privacy preserving method was needed.To solve the problems of the existing dynamic privacy preservation methods,such as attacker’s too little background knowledge and the low adaptability to the dynamic characteristics of graph structure,a clustering-based dynamic privacy preservation method was provided.The analysis shows that the proposed method can resist many kinds of background knowledge attacks and has good adaptability to the dynamic characteristics of the social network graph structure. |
| format | Article |
| id | doaj-art-1e91b68d977b4933abff93ecdb8bff81 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-1e91b68d977b4933abff93ecdb8bff812025-01-14T06:54:21ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-11-013612613059697728Clustering-based dynamic privacy preserving method for social networksYong-hao GUJiu-chuan LINDa GUODue to the dynamic characteristics of the social network graph structure,an effective dynamic privacy preserving method was needed.To solve the problems of the existing dynamic privacy preservation methods,such as attacker’s too little background knowledge and the low adaptability to the dynamic characteristics of graph structure,a clustering-based dynamic privacy preservation method was provided.The analysis shows that the proposed method can resist many kinds of background knowledge attacks and has good adaptability to the dynamic characteristics of the social network graph structure.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015290/dynamic social networksprivacy preservingclusteringinformation loss degreeanonymization rate |
| spellingShingle | Yong-hao GU Jiu-chuan LIN Da GUO Clustering-based dynamic privacy preserving method for social networks Tongxin xuebao dynamic social networks privacy preserving clustering information loss degree anonymization rate |
| title | Clustering-based dynamic privacy preserving method for social networks |
| title_full | Clustering-based dynamic privacy preserving method for social networks |
| title_fullStr | Clustering-based dynamic privacy preserving method for social networks |
| title_full_unstemmed | Clustering-based dynamic privacy preserving method for social networks |
| title_short | Clustering-based dynamic privacy preserving method for social networks |
| title_sort | clustering based dynamic privacy preserving method for social networks |
| topic | dynamic social networks privacy preserving clustering information loss degree anonymization rate |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015290/ |
| work_keys_str_mv | AT yonghaogu clusteringbaseddynamicprivacypreservingmethodforsocialnetworks AT jiuchuanlin clusteringbaseddynamicprivacypreservingmethodforsocialnetworks AT daguo clusteringbaseddynamicprivacypreservingmethodforsocialnetworks |