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- W2366857100 abstract "We mainly focused on the detection of Sybil attack in social networks.By analyzing the collected 100000 data in social networks,we extracted the users' features,and combining the network reliability,we proposed a method to detect Sybil users.Finally,we conducted some experiments to validate the effective of our method." @default.
- W2366857100 created "2016-06-24" @default.
- W2366857100 creator A5005516750 @default.
- W2366857100 date "2016-01-01" @default.
- W2366857100 modified "2023-09-24" @default.
- W2366857100 title "Compound Approach for Sybil Users Detection in Social Networks" @default.
- W2366857100 hasPublicationYear "2016" @default.
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