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Deep Learning and Traffic Classification: Lessons learned from a
  commercial-grade dataset with hundreds of encrypted and zero-day applications

Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications

7 April 2021
Lixuan Yang
A. Finamore
Feng Jun
Dario Rossi
ArXivPDFHTML

Papers citing "Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications"

15 / 15 papers shown
Title
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets
Rushi Jayeshkumar Babaria
Minzhao Lyu
Gustavo E. A. P. A. Batista
V. Sivaraman
AI4TS
43
0
0
02 Apr 2025
Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success
Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success
Jan Luxemburk
Karel Hynek
Richard Plný
T. Čejka
47
0
0
18 Feb 2025
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable
  Encrypted Traffic Classification
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification
Yuxuan Chen
Rongpeng Li
Zhifeng Zhao
Honggang Zhang
MoE
69
0
0
20 Nov 2024
Inference-to-complete: A High-performance and Programmable Data-plane
  Co-processor for Neural-network-driven Traffic Analysis
Inference-to-complete: A High-performance and Programmable Data-plane Co-processor for Neural-network-driven Traffic Analysis
Dong Wen
Z. Liu
Tong Yang
Tao Li
Tianyun Li
Chenglong Li
Jie Li
Zhigang Sun
50
0
0
01 Nov 2024
Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic
  Classification With ECHO
Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO
Shilo Daum
T. Shapira
Anat Bremler Barr
David Hay
23
0
0
03 Jun 2024
DataZoo: Streamlining Traffic Classification Experiments
DataZoo: Streamlining Traffic Classification Experiments
Jan Luxemburk
Karel Hynek
19
5
0
30 Oct 2023
FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on
  Trusted Federated Deep Learning for Mobile Edge Computing
FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing
Pan Wang
Zeyi Li
Mengyi Fu
Zixuan Wang
Ze Zhang
Minyao Liu
19
0
0
14 Aug 2023
AutoML4ETC: Automated Neural Architecture Search for Real-World
  Encrypted Traffic Classification
AutoML4ETC: Automated Neural Architecture Search for Real-World Encrypted Traffic Classification
Navid Malekghaini
Elham Akbari
M. A. Salahuddin
Noura Limam
R. Boutaba
B. Mathieu
S. Moteau
Stéphanie Tuffin
27
4
0
04 Aug 2023
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning
  in Encrypted Traffic Classification
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification
Idio Guarino
Chao Wang
A. Finamore
A. Pescapé
Dario Rossi
21
11
0
21 May 2023
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated
  over 5G Wireless Network
5G-NIDD: A Comprehensive Network Intrusion Detection Dataset Generated over 5G Wireless Network
Sehan Samarakoon
Yushan Siriwardhana
P. Porambage
Madhusanka Liyanage
Sang-Yoon Chang
Jinoh Kim
Jong-Hoi Kim
M. Ylianttila
18
74
0
02 Dec 2022
When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning
  and Classical Machine Learning Approaches for Encrypted Malware Traffic
  Classification
When a RF Beats a CNN and GRU, Together -- A Comparison of Deep Learning and Classical Machine Learning Approaches for Encrypted Malware Traffic Classification
Adi Lichy
Ofek Bader
Ran Dubin
A. Dvir
Chen Hajaj
24
29
0
16 Jun 2022
Fine-grained TLS services classification with reject option
Fine-grained TLS services classification with reject option
Jan Luxemburk
T. Čejka
16
32
0
24 Feb 2022
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural
  Network for Internet Traffic Classification
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification
Kevin Fauvel
Fuxing Chen
Dario Rossi
27
25
0
11 Feb 2022
Accelerating Deep Learning Classification with Error-controlled
  Approximate-key Caching
Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching
A. Finamore
James W. Roberts
Massimo Gallo
Dario Rossi
11
10
0
13 Dec 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
119
466
0
17 Oct 2020
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