MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning

Author:

Li Ziang1,Cheng Zhenyu1,Zang Tianning1,Li Yijie2

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China

2. Individual,Beijing,China

Publisher

IEEE

Reference30 articles.

1. Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic;radford;CoRR,2018

2. Visualization Approach for Malware Classification with ResNeXt

3. Malware traffic classification using convolutional neural network for representation learning

4. BotCatcher: A Botnet Detection System Based on Deep Learning;wu;J Commun,2018

5. Encrypted malicious traffic detection method based on TextCNN;yang;Journal of Guangzhou University(Natural Science Edition),2022

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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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