Data Augmentation for Traffic Classification

Author:

Wang ChaoORCID,Finamore AlessandroORCID,Michiardi PietroORCID,Gallo MassimoORCID,Rossi DarioORCID

Publisher

Springer Nature Switzerland

Reference53 articles.

1. Additional material for the paper: Rosetta: Enabling Robust TLS Encrypted Traffic Classification in Diverse Network Environments with TCP-Aware Traffic Augmentation. https://cloud.tsinghua.edu.cn/f/7f250d2ffce8404b845e/?dl=1

2. Aceto, G., Ciuonzo, D., Montieri, A., Pescapè, A.: Mimetic: mobile encrypted traffic classification using multimodal deep learning. Comput. Netw. 165, 106944 (2019)

3. Aceto, G., Ciuonzo, D., Montieri, A., Persico, V., Pescapè, A.: Mirage: mobile-app traffic capture and ground-truth creation. In: IEEE International Conference on Computing, Communication and Security (ICCCS) (2019)

4. Akbari, I., et al.: A look behind the curtain: traffic classification in an increasingly encrypted web. ACM Measur. Anal. Comput. Syst. 5(1), 1–26 (2021)

5. Bovenzi, G., et al.: A first look at class incremental learning in deep learning mobile traffic classification. In: IFIP Traffic Measurement and Analysis (TMA) (2021)

Cited by 2 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. A balanced supervised contrastive learning-based method for encrypted network traffic classification;Computers & Security;2024-10

2. Towards Reusable Models in Traffic Classification;2024 8th Network Traffic Measurement and Analysis Conference (TMA);2024-05-21

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