De-anonymiation method for networks based on DeepLink

oleh: WANG Pei, JIA Yan, LI Aiping, JIANG Qianyue

Format: Article
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.