A Content-Based Method for Sybil Detection in Online Social Networks via Deep Learning

A Content-Based Method for Sybil Detection in Online Social Networks via Deep Learning

Online social networks (OSNs) are generally susceptible to Sybil attack, which causes a series of cybersecurity problems and privacy violations. Malicious attackers can create massive Sybils and further utilize those fake identities to launch various Sybil attacks. Therefore, Sybil detection in OSNs...

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Bibliographic Details
Main Authors: Tianyu Gao, Jin Yang, Wenjun Peng, Luyu Jiang, Yihao Sun, Fangchuan Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
deep learning (DL)
long short-term memory (LSTM)
online social networks (OSNs)
sybil detection
Online Access:https://ieeexplore.ieee.org/document/9007376/

Internet

https://ieeexplore.ieee.org/document/9007376/

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