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De-anonymiation method for networks based on DeepLink
oleh: WANG Pei, JIA Yan, LI Aiping, JIANG Qianyue
Format: | Article |
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Diterbitkan: | POSTS&TELECOM PRESS Co., LTD 2020-08-01 |
Deskripsi
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.