Network Traffic Classification Using Self-Supervised Learning and Confident Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Eslami, Ehsan, Hamouda, Walaa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hierarchical Deep Reinforcement Learning for Robust Access in Cognitive IoT Networks under Smart Jamming Attacks
by: Abdolkhani, Nadia, et al.
Published: (2025)
by: Abdolkhani, Nadia, et al.
Published: (2025)
Hybrid Cognitive IoT with Cooperative Caching and SWIPT-EH: A Hierarchical Reinforcement Learning Framework
by: Abdolkhani, Nadia, et al.
Published: (2025)
by: Abdolkhani, Nadia, et al.
Published: (2025)
Cooperative Caching Towards Efficient Spectrum Utilization in Cognitive-IoT Networks
by: Abdolkhani, Nadia, et al.
Published: (2025)
by: Abdolkhani, Nadia, et al.
Published: (2025)
Deep Reinforcement Learning for EH-Enabled Cognitive-IoT Under Jamming Attacks
by: Abdolkhani, Nadia, et al.
Published: (2025)
by: Abdolkhani, Nadia, et al.
Published: (2025)
Optimizing Cognitive Networks: Reinforcement Learning Meets Energy Harvesting Over Cascaded Channels
by: Tashman, Deemah H., et al.
Published: (2025)
by: Tashman, Deemah H., et al.
Published: (2025)
Deep Reinforcement Learning for Joint Time and Power Management in SWIPT-EH CIoT
by: Abdolkhani, Nadia, et al.
Published: (2025)
by: Abdolkhani, Nadia, et al.
Published: (2025)
Confidence Driven Classification of Application Types in the Presence of Background Network Traffic
by: Choi, Eun Hun, et al.
Published: (2025)
by: Choi, Eun Hun, et al.
Published: (2025)
Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks
by: Tashman, Deemah H., et al.
Published: (2025)
by: Tashman, Deemah H., et al.
Published: (2025)
Tutorial on Flow-Based Network Traffic Classification Using Machine Learning
by: Pekar, Adrian, et al.
Published: (2026)
by: Pekar, Adrian, et al.
Published: (2026)
Maximizing Reliability in Overlay Radio Networks with Time Switching and Power Splitting Energy Harvesting
by: Tashman, Deemah H., et al.
Published: (2025)
by: Tashman, Deemah H., et al.
Published: (2025)
Learning-Based Traffic Classification for Mixed-Critical Flows in Time-Sensitive Networking
by: Debnath, Rubi, et al.
Published: (2025)
by: Debnath, Rubi, et al.
Published: (2025)
Practical and Configurable Network Traffic Classification Using Probabilistic Machine Learning
by: Chen, Jiahui, et al.
Published: (2021)
by: Chen, Jiahui, et al.
Published: (2021)
Drift-oriented Self-evolving Encrypted Traffic Application Classification for Actual Network Environment
by: Chen, Zihan, et al.
Published: (2025)
by: Chen, Zihan, et al.
Published: (2025)
Active Learning for Network Traffic Classification: A Technical Study
by: Shahraki, Amin, et al.
Published: (2021)
by: Shahraki, Amin, et al.
Published: (2021)
Tiny Neural Networks for Session-Level Traffic Classification
by: Chehade, Adel, et al.
Published: (2025)
by: Chehade, Adel, et al.
Published: (2025)
A review on Deep Neural Network for Computer Network Traffic Classification
by: Haque, Md. Ariful, et al.
Published: (2022)
by: Haque, Md. Ariful, et al.
Published: (2022)
Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework
by: Ponraj, Riya, et al.
Published: (2025)
by: Ponraj, Riya, et al.
Published: (2025)
Fine-Grained Network Traffic Classification with Contextual QoS Profiling
by: Zhang, Huiwen, et al.
Published: (2026)
by: Zhang, Huiwen, et al.
Published: (2026)
Binary VPN Traffic Detection Using Wavelet Features and Machine Learning
by: Razooqi, Yasameen Sajid, et al.
Published: (2025)
by: Razooqi, Yasameen Sajid, et al.
Published: (2025)
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers
by: Chehade, Adel, et al.
Published: (2025)
by: Chehade, Adel, et al.
Published: (2025)
PRIME: Plasticity-Robust Incremental Model for Encrypted Traffic Classification in Dynamic Network Environments
by: Qin, Tian, et al.
Published: (2025)
by: Qin, Tian, et al.
Published: (2025)
Nethira: A Heterogeneity-aware Hierarchical Pre-trained Model for Network Traffic Classification
by: Lin, Chungang, et al.
Published: (2026)
by: Lin, Chungang, et al.
Published: (2026)
Online Network Traffic Classification Based on External Attention and Convolution by IP Packet Header
by: Hu, Yahui, et al.
Published: (2023)
by: Hu, Yahui, et al.
Published: (2023)
Virtual Reality Traffic Prioritization for Wi-Fi Quality of Service Improvement using Machine Learning Classification Techniques
by: Shaabanzadeh, Seyedeh Soheila, et al.
Published: (2024)
by: Shaabanzadeh, Seyedeh Soheila, et al.
Published: (2024)
A Fair Federated Learning Framework for Collaborative Network Traffic Prediction and Resource Allocation
by: Panda, Saroj Kumar, et al.
Published: (2025)
by: Panda, Saroj Kumar, et al.
Published: (2025)
Synecdoche: Efficient and Accurate In-Network Traffic Classification via Direct Packet Sequential Pattern Matching
by: Xiao, Minyuan, et al.
Published: (2025)
by: Xiao, Minyuan, et al.
Published: (2025)
Learning Cache Coherence Traffic for NoC Routing Design
by: Xiong, Guochu, et al.
Published: (2025)
by: Xiong, Guochu, et al.
Published: (2025)
Distillation-Enhanced Clustering Acceleration for Encrypted Traffic Classification
by: Huang, Ziyue, et al.
Published: (2025)
by: Huang, Ziyue, et al.
Published: (2025)
Early-Stage IoT Device Identification Using Passive Network Traffic Analysis
by: Ciechonski, Alex, et al.
Published: (2026)
by: Ciechonski, Alex, et al.
Published: (2026)
Hyper-parameter Optimization for Wireless Network Traffic Prediction Models with A Novel Meta-Learning Framework
by: Wang, Liangzhi, et al.
Published: (2024)
by: Wang, Liangzhi, et al.
Published: (2024)
Understanding IoT Domain Names: Analysis and Classification Using Machine Learning
by: Ayoub, Ibrahim, et al.
Published: (2024)
by: Ayoub, Ibrahim, et al.
Published: (2024)
The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
by: Zhao, Yuqi, et al.
Published: (2025)
by: Zhao, Yuqi, et al.
Published: (2025)
Analyzing Zigbee Traffic: Datasets, Classification and Storage Trade-offs
by: Boiano, Antonio, et al.
Published: (2026)
by: Boiano, Antonio, et al.
Published: (2026)
GRU-Based Learning for the Identification of Congestion Protocols in TCP Traffic
by: Bergeron, Paul, et al.
Published: (2025)
by: Bergeron, Paul, et al.
Published: (2025)
FitNets: An Adaptive Framework to Learn Accurate Traffic Distributions
by: Dietmüller, Alexander, et al.
Published: (2024)
by: Dietmüller, Alexander, et al.
Published: (2024)
Deep Learning Network-Temporal Models For Traffic Prediction
by: Xin, Yufeng, et al.
Published: (2026)
by: Xin, Yufeng, et al.
Published: (2026)
Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach
by: Habib, Md Arafat, et al.
Published: (2024)
by: Habib, Md Arafat, et al.
Published: (2024)
Transfer Learning for EDFA Gain Modeling: A Semi-Supervised Approach Using Internal Amplifier Features
by: Raj, Agastya, et al.
Published: (2025)
by: Raj, Agastya, et al.
Published: (2025)
Generalized Encrypted Traffic Classification Using Inter-Flow Signals
by: Bianchi, Federica, et al.
Published: (2025)
by: Bianchi, Federica, et al.
Published: (2025)
A Slicing Model for Transport Networks with Traffic Burst Control and QoS Compliance for Traffic Flows
by: Encinas-Alonso, Aitor, et al.
Published: (2025)
by: Encinas-Alonso, Aitor, et al.
Published: (2025)
Similar Items
-
Hierarchical Deep Reinforcement Learning for Robust Access in Cognitive IoT Networks under Smart Jamming Attacks
by: Abdolkhani, Nadia, et al.
Published: (2025) -
Hybrid Cognitive IoT with Cooperative Caching and SWIPT-EH: A Hierarchical Reinforcement Learning Framework
by: Abdolkhani, Nadia, et al.
Published: (2025) -
Cooperative Caching Towards Efficient Spectrum Utilization in Cognitive-IoT Networks
by: Abdolkhani, Nadia, et al.
Published: (2025) -
Deep Reinforcement Learning for EH-Enabled Cognitive-IoT Under Jamming Attacks
by: Abdolkhani, Nadia, et al.
Published: (2025) -
Optimizing Cognitive Networks: Reinforcement Learning Meets Energy Harvesting Over Cascaded Channels
by: Tashman, Deemah H., et al.
Published: (2025)