MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning
Author:
Affiliation:
1. Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China
2. Individual,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191219.pdf?arnumber=10191219
Reference30 articles.
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5. Encrypted malicious traffic detection method based on TextCNN;yang;Journal of Guangzhou University(Natural Science Edition),2022
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1. An Accurate And Lightweight Intrusion Detection Model Deployed on Edge Network Devices;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
2. IMTCDF: A Multi-Module-Based Internet Malicious Traffic Classification and Detection Framework;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08
3. MLMTD: A Multi-Layer Malicious Traffic Detection Model Based on Multi-Branch Octave Convolution and Attention Mechanism;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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