Imagen de Portada

Unsupervised Dataset Cleaning Framework for Encrypted Traffic Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Qiu, Kun, Wang, Ying, Li, Baoqian, Zhu, Wenjun
Formato:	Preprint
Publicado:	2025
Materias:	Networking and Internet Architecture Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

TrafficMoE: Heterogeneity-aware Mixture of Experts for Encrypted Traffic Classification
por: He, Qing, et al.
Publicado: (2026)

Mean Masked Autoencoder with Flow-Mixing for Encrypted Traffic Classification
por: Liu, Xiao, et al.
Publicado: (2026)

Multimodal Reasoning with LLM for Encrypted Traffic Interpretation: A Benchmark
por: Zhang, Longgang, et al.
Publicado: (2026)

MalMoE: Mixture-of-Experts Enhanced Encrypted Malicious Traffic Detection Under Graph Drift
por: Tan, Yunpeng, et al.
Publicado: (2026)

Where Do Flow Semantics Reside? A Protocol-Native Tabular Pretraining Paradigm for Encrypted Traffic Classification
por: Huang, Sizhe, et al.
Publicado: (2026)

Active Learning for Network Traffic Classification: A Technical Study
por: Shahraki, Amin, et al.
Publicado: (2021)

Distillation-Enhanced Clustering Acceleration for Encrypted Traffic Classification
por: Huang, Ziyue, et al.
Publicado: (2025)

OpenURMA: A Clean-Room Open Implementation of the Unified Bus Protocol
por: Li, Bojie
Publicado: (2026)

Towards a Transformer-Based Pre-trained Model for IoT Traffic Classification
por: Bazaluk, Bruna, et al.
Publicado: (2024)

Exploring QUIC Dynamics: A Large-Scale Dataset for Encrypted Traffic Analysis
por: Gahtan, Barak, et al.
Publicado: (2024)

Drift-oriented Self-evolving Encrypted Traffic Application Classification for Actual Network Environment
por: Chen, Zihan, et al.
Publicado: (2025)

A Unified Framework for Context-Aware IoT Management and State-of-the-Art IoT Traffic Anomaly Detection
por: Worae, Daniel Adu, et al.
Publicado: (2024)

Multi-Scale Diffusion Transformer for Jointly Simulating User Mobility and Mobile Traffic Pattern
por: Liu, Ziyi, et al.
Publicado: (2025)

Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network Traffic
por: Qi, Xiaoqian, et al.
Publicado: (2025)

SemAgent: Semantic-Driven Agentic AI Empowered Trajectory Prediction in Vehicular Networks
por: Zhu, Lin, et al.
Publicado: (2025)

Bias in the Shadows: Explore Shortcuts in Encrypted Network Traffic Classification
por: Wang, Chuyi, et al.
Publicado: (2026)

Encrypted Traffic Detection in Resource Constrained IoT Networks: A Diffusion Model and LLM Integrated Framework
por: Li, Hongjuan, et al.
Publicado: (2025)

PRIME: Plasticity-Robust Incremental Model for Encrypted Traffic Classification in Dynamic Network Environments
por: Qin, Tian, et al.
Publicado: (2025)

Online Learning Based Efficient Resource Allocation for LoRaWAN Network
por: Wang, Ruiqi, et al.
Publicado: (2025)

GraFSTNet: Graph-based Frequency SpatioTemporal Network for Cellular Traffic Prediction
por: Li, Ziyi, et al.
Publicado: (2026)

HiSTM: Hierarchical Spatiotemporal Mamba for Cellular Traffic Forecasting
por: Bettouche, Zineddine, et al.
Publicado: (2025)

A Unified Modeling Framework for Automated Penetration Testing
por: Wang, Yunfei, et al.
Publicado: (2025)

Traffic Simulation in Ad Hoc Network of Flying UAVs with Generative AI Adaptation
por: Grekhov, Andrii, et al.
Publicado: (2026)

ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
por: Liu, Shinan, et al.
Publicado: (2024)

Generalized Encrypted Traffic Classification Using Inter-Flow Signals
por: Bianchi, Federica, et al.
Publicado: (2025)

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification
por: Lin, Xinjie, et al.
Publicado: (2025)

A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
por: Abrol, Akshita, et al.
Publicado: (2024)

Tyche: A Hybrid Computation Framework of Illumination Pattern for Satellite Beam Hopping
por: Yang, Ziheng, et al.
Publicado: (2025)

Semantic Edge-Cloud Communication for Real-Time Urban Traffic Surveillance with ViT and LLMs over Mobile Networks
por: Onsu, Murat Arda, et al.
Publicado: (2025)

RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Prediction
por: Jia, Honggang, et al.
Publicado: (2025)

The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification
por: Zhao, Yuqi, et al.
Publicado: (2025)

LAMBO: Large AI Model Empowered Edge Intelligence
por: Dong, Li, et al.
Publicado: (2023)

Large AI Model-Based Semantic Communications
por: Jiang, Feibo, et al.
Publicado: (2023)

Multi-Agent RL-Based Industrial AIGC Service Offloading over Wireless Edge Networks
por: Li, Siyuan, et al.
Publicado: (2024)

Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
por: Yu, Xiaoxue, et al.
Publicado: (2024)

STAR: Semantic-Traffic Alignment and Retrieval for Zero-Shot HTTPS Website Fingerprinting
por: Cheng, Yifei, et al.
Publicado: (2025)

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation
por: Haider, Momin, et al.
Publicado: (2024)

UDFS: Lightweight Representation-Driven Open World Robust Encrypted Traffic Classification
por: Xian, Youquan, et al.
Publicado: (2025)

A Hybrid Reinforcement Learning Framework for Hard Latency Constrained Resource Scheduling
por: Zhang, Luyuan, et al.
Publicado: (2025)

FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
por: Wang, Tianfu, et al.
Publicado: (2024)