Layered Malicious Nodes Detection with Graph Attention Network in Human-Cyber-Physical Networks

Author:

Lin Yuhang1,Huang Yanze2,Hsieh Sun-Yuan3,Lin Limei1,Xia Feng4

Affiliation:

1. College of Computer and Cyber Security, Fujian Normal University,Fujian Provincial Key Laboratory of Network Security and Cryptology,Fuzhou,P.R. China

2. College of Computer and Cyber Security, Fujian Normal University,Fuzhou,P.R. China

3. National Cheng Kung University,Department of Computer Science and Information Engineering,Tainan,Taiwan

4. School of Engineering, IT and Physical Sciences, Federation University Australia,Ballarat,Australia

Funder

National Natural Science Foundation of China

Fok Ying Tung Education Foundation

Natural Science Foundation of Fujian Province

Publisher

IEEE

Reference30 articles.

1. Fame for sale: Efficient detection of fake Twitter followers

2. Profile characteristics of fake Twitter accounts

3. A Comprehensive Survey on Graph Neural Networks

4. Semi-supervised classification with graph convolutional networks;kipf;5th International Conference on Learning Representations ICLR 2017,2017

5. Graph attencion networks;velickovic;6th International Conference on Learning Representations ICLR 2018,2018

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