AFF_CGE: Combined Attention-Aware Feature Fusion and Communication Graph Embedding Learning for Detecting Encrypted Malicious Traffic

AFF_CGE: Combined Attention-Aware Feature Fusion and Communication Graph Embedding Learning for Detecting Encrypted Malicious Traffic

While encryption enhances data security, it also presents significant challenges for network traffic analysis, especially in detecting malicious activities. To tackle this challenge, this paper introduces combined Attention-aware Feature Fusion and Communication Graph Embedding Learning (AFF_CGE), a...

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Bibliographic Details
Main Authors: Junhao Liu, Guolin Shao, Hong Rao, Xiangjun Li, Xuan Huang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
encrypted malicious traffic
representation learning
attention
graph embedding
Online Access:https://www.mdpi.com/2076-3417/14/22/10366
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