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In computer networking, network traffic refers to the amount of data transmitted in the form of packets between internetworked computers or Cyber-Physical Systems.
Characterization of encrypted and vpn traffic using time-related
G. Draper-Gil, A. H. Lashkari, M. S. I. Mamun, and A. A. Ghorbani · 2016
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Computer network traffic prediction: a comparison between traditional and deep learning neural networks
T. P. Oliveira, J. S. Barbar, and A. S. Soares · 2016
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Characterization of tor traffic using time based features
A. Habibi Lashkari., G. Draper Gil., M. S. I. Mamun., and A. A. Ghorbani · 2017
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Ip2vec: Learning similarities between ip addresses
M. Ring, A. Dallmann, D. Landes, and A. Hotho · 2017
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Malware traffic classification using convolutional neural network for representation learning
W. Wang, M. Zhu, X. Zeng, X. Ye, and Y. Sheng · 2017
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Mampf: Encrypted traffic classification based on multi-attribute markov probability fingerprints
C. Liu, Z. Cao, G. Xiong, G. Gou, S.-M. Yiu, and L. He · 2018
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Ugr ‘16: A new dataset for the evaluation of cyclostationarity-based network idss
G. Maciá-Fernández, J. Camacho, R. Magán-Carrión, P. García-Teodoro, and R. Therón · 2018
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Datanet: Deep learning based encrypted network traffic classification in sdn home gateway
P. Wang, F. Ye, X. Chen, and Y. Qian · 2018
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Fs-net: A flow sequence network for encrypted traffic classification
C. Liu, L. He, G. Xiong, Z. Cao, and Z. Li · 2019
Cited alongside, same era.
Identification of encrypted traffic through attention mechanism based long short term memory
H. Yao, C. Liu, P. Zhang, S. Wu, C. Jiang, and S. Yu · 2019
Cited alongside, same era.
Deep packet: A novel approach for encrypted traffic classification using deep learning
M. Lotfollahi, M. Jafari Siavoshani, et al · 2020
Cited alongside, same era.
Detection of doh tunnels using time-series classification of encrypted traffic
M. MontazeriShatoori, L. Davidson, G. Kaur, and A. H. Lashkari · 2020
Cited alongside, same era.
Flowprint: Semi-supervised mobile-app fingerprinting on encrypted network traffic
T. Van Ede, R. Bortolameotti, A. Continella, J. Ren, D. J. Dubois, et al · 2020
Cited alongside, same era.
Et-bert: A contextualized datagram representation with pre-training transformers for encrypted traffic classification
X. Lin, G. Xiong, G. Gou, et al · 2022
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Practical gan-based synthetic ip header trace generation using netshare
Y. Yin, Z. Lin, M. Jin, G. Fanti, and V. Sekar · 2022
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Dual-track protocol reverse analysis based on share learning
W. Zhang, X. Meng, and Y. Zhang · 2022
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Ciciot2023: A real-time dataset and benchmark for large-scale attacks in iot environment
E. C. P. Neto, S. Dadkhah, R. Ferreira, A. Zohourian, R. Lu, and A. A. Ghorbani · 2023
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R. Zhao, M. Zhan, X. Deng, et al · 2023
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Tscrnn: A novel classification scheme of encrypted traffic based on flow spatiotemporal features for efficient management of iiot
K. Lin, X. Xu, and H. Gao · 2021
Cited alongside, same era.
Stan: Synthetic network traffic generation with generative neural models
S. Xu, M. Marwah, M. Arlitt, and N. Ramakrishnan · 2021
Cited alongside, same era.
Splitcap - a fast pcap file splitter, 2024
Netresec · 2024
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Lens: A foundation model for network traffic in cybersecurity
Q. Wang, C. Qian, X. Li, Z. Yao, and H. Shao · 2024
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