Accurate Encrypted Malicious Traffic Identification via Traffic Interaction Pattern Using Graph Convolutional Network

Accurate Encrypted Malicious Traffic Identification via Traffic Interaction Pattern Using Graph Convolutional Network

Telecommuting and telelearning have gradually become mainstream lifestyles in the post-epidemic era. The extensive interconnection of massive terminals gives attackers more opportunities, which brings more significant challenges to network traffic security analysis. The existing attacks, often using...

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Bibliographic Details
Main Authors: Guoqiang Ren, Guang Cheng, Nan Fu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
encrypted malicious traffic identification
traffic interaction pattern
graph feature
deep learning
graph convolutional network
Online Access:https://www.mdpi.com/2076-3417/13/3/1483

Internet

https://www.mdpi.com/2076-3417/13/3/1483

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