Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation-Reference-Cited by-同舟云学术

Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation

Published:2023-10-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM on Internet Measurement Conference
language:
Short-container-title:

Author:

Finamore Alessandro¹^ORCID,Wang Chao¹^ORCID,Krolikowski Jonatan¹^ORCID,Navarro Jose M.¹^ORCID,Chen Fuxing¹^ORCID,Rossi Dario¹^ORCID

Affiliation:

1. Huawei Technologies SASU, Paris, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3618257.3624820

Reference37 articles.

1. Giuseppe Aceto , Domenico Ciuonzo , Antonio Montieri , Valerio Persico , and Antonio Pescapè . 2019 . MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation. In IEEE 4th International Conference on Computing, Communication and Security (ICCCS 2019). Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, and Antonio Pescapè. 2019. MIRAGE: Mobile-app Traffic Capture and Ground-truth Creation. In IEEE 4th International Conference on Computing, Communication and Security (ICCCS 2019).

2. MIMETIC: Mobile encrypted traffic classification using multimodal deep learning

3. A Look Behind the Curtain: Traffic Classification in an Increasingly Encrypted Web

4. Traffic classification on the fly

5. Jonathan B Buckheit and David L Donoho . 1995. Wavelab and reproducible research . Springer . Jonathan B Buckheit and David L Donoho. 1995. Wavelab and reproducible research. Springer.

Cited by 5 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. The art of time-bending: Data augmentation and early prediction for efficient traffic classification;Expert Systems with Applications;2024-10

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

3. Implementation and Evaluation of Spatial Attention Mechanism in Apricot Disease Detection Using Adaptive Sampling Latent Variable Network;Plants;2024-06-18

4. Self-Supervised Traffic Classification: Flow Embedding and Few-Shot Solutions;IEEE Transactions on Network and Service Management;2024-06

5. The Art of Time-Bending: Data Augmentation and Early Prediction for Efficient Traffic Classification;2023