Privacy leakage in online social networks based on public information
An algorithm was proposed to predict privacy information in social network with public information. This al-gorithm detected communities in the friend relationship network and inferred privacy information using public informa-tion of some friends. The results show that users' privacy informatio...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2013-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.025/ |
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| _version_ | 1841539841323433984 |
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| author | Shao-qing LV Yu-qing ZHANG Ping NI |
| author_facet | Shao-qing LV Yu-qing ZHANG Ping NI |
| author_sort | Shao-qing LV |
| collection | DOAJ |
| description | An algorithm was proposed to predict privacy information in social network with public information. This al-gorithm detected communities in the friend relationship network and inferred privacy information using public informa-tion of some friends. The results show that users' privacy information can be estimated with high accuracy when given only a little public information. |
| format | Article |
| id | doaj-art-d114caefc2f74403a29e1c43e84ba89f |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-d114caefc2f74403a29e1c43e84ba89f2025-01-14T06:41:57ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-08-013419019659677373Privacy leakage in online social networks based on public informationShao-qing LVYu-qing ZHANGPing NIAn algorithm was proposed to predict privacy information in social network with public information. This al-gorithm detected communities in the friend relationship network and inferred privacy information using public informa-tion of some friends. The results show that users' privacy information can be estimated with high accuracy when given only a little public information.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.025/online social networkprivacy leakagecommunity detection |
| spellingShingle | Shao-qing LV Yu-qing ZHANG Ping NI Privacy leakage in online social networks based on public information Tongxin xuebao online social network privacy leakage community detection |
| title | Privacy leakage in online social networks based on public information |
| title_full | Privacy leakage in online social networks based on public information |
| title_fullStr | Privacy leakage in online social networks based on public information |
| title_full_unstemmed | Privacy leakage in online social networks based on public information |
| title_short | Privacy leakage in online social networks based on public information |
| title_sort | privacy leakage in online social networks based on public information |
| topic | online social network privacy leakage community detection |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.025/ |
| work_keys_str_mv | AT shaoqinglv privacyleakageinonlinesocialnetworksbasedonpublicinformation AT yuqingzhang privacyleakageinonlinesocialnetworksbasedonpublicinformation AT pingni privacyleakageinonlinesocialnetworksbasedonpublicinformation |