Identification of Malicious Encrypted Traffic Through Feature Fusion

Identification of Malicious Encrypted Traffic Through Feature Fusion

The popularity of encrypted communication has grown due to increased security awareness and rapid internet development. End-to-end encryption can prevent data attacks but also poses new cybersecurity threats. Thus, identifying malicious encrypted traffic is a focus of research in network behavior an...

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Bibliographic Details
Main Authors: Xianchun Zheng, Hui Li
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Network security
malicious encrypted traffic
traffic identification
multi-feature fusion
deep learning
Online Access:https://ieeexplore.ieee.org/document/10131938/

Internet

https://ieeexplore.ieee.org/document/10131938/

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