De-anonymiation method for networks based on DeepLink
Existing de-anonymization technologies are mainly based on the network structure.To learn and express network structure is the key step of de-anonymization.The purpose of the user identity linkage is to detect the same user from different social networking platforms.DeepLink is a cross-social networ...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2020-08-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020045 |
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| _version_ | 1841530014506418176 |
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| author | Pei WANG Yan JIA Aiping LI Qianyue JIANG |
| author_facet | Pei WANG Yan JIA Aiping LI Qianyue JIANG |
| author_sort | Pei WANG |
| collection | DOAJ |
| description | Existing de-anonymization technologies are mainly based on the network structure.To learn and express network structure is the key step of de-anonymization.The purpose of the user identity linkage is to detect the same user from different social networking platforms.DeepLink is a cross-social network user alignment technology.It learns the structural of the social networks and align anchor nodes through deep neural networks.DeepLink was used to identify de-anonymization social networks,and the results outperforms the traditional methods. |
| format | Article |
| id | doaj-art-e1727811332b4ad1ab854910337a5acd |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2020-08-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-e1727811332b4ad1ab854910337a5acd2025-01-15T03:14:17ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2020-08-01610410859560166De-anonymiation method for networks based on DeepLinkPei WANGYan JIAAiping LIQianyue JIANGExisting de-anonymization technologies are mainly based on the network structure.To learn and express network structure is the key step of de-anonymization.The purpose of the user identity linkage is to detect the same user from different social networking platforms.DeepLink is a cross-social network user alignment technology.It learns the structural of the social networks and align anchor nodes through deep neural networks.DeepLink was used to identify de-anonymization social networks,and the results outperforms the traditional methods.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020045anonymizationde-anonymizationprivacysocial networkgraph data |
| spellingShingle | Pei WANG Yan JIA Aiping LI Qianyue JIANG De-anonymiation method for networks based on DeepLink 网络与信息安全学报 anonymization de-anonymization privacy social network graph data |
| title | De-anonymiation method for networks based on DeepLink |
| title_full | De-anonymiation method for networks based on DeepLink |
| title_fullStr | De-anonymiation method for networks based on DeepLink |
| title_full_unstemmed | De-anonymiation method for networks based on DeepLink |
| title_short | De-anonymiation method for networks based on DeepLink |
| title_sort | de anonymiation method for networks based on deeplink |
| topic | anonymization de-anonymization privacy social network graph data |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2020045 |
| work_keys_str_mv | AT peiwang deanonymiationmethodfornetworksbasedondeeplink AT yanjia deanonymiationmethodfornetworksbasedondeeplink AT aipingli deanonymiationmethodfornetworksbasedondeeplink AT qianyuejiang deanonymiationmethodfornetworksbasedondeeplink |