Cover Image

Develop End-to-End Anomaly Detection System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mengoli, Emanuele, Yao, Zhiyuan, Wei, Wutao
Format:	Preprint
Published:	2024
Subjects:	Networking and Internet Architecture Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Distributed No-Regret Learning for Multi-Stage Systems with End-to-End Bandit Feedback
by: Hou, I-Hong
Published: (2024)

DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training
by: Liu, Renyuan, et al.
Published: (2025)

Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications
by: Islam, Nazmul, et al.
Published: (2024)

Towards End-to-End Network Intent Management with Large Language Models
by: Dinh, Lam, et al.
Published: (2025)

SenseRay-3D: Generalizable and Physics-Informed Framework for End-to-End Indoor Propagation Modeling
by: Zheng, Yu, et al.
Published: (2025)

RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network
by: Hou, Yunbo, et al.
Published: (2024)

Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression
by: Han, Wenchen, et al.
Published: (2024)

Why Channel-Centric Models are not Enough to Predict End-to-End Performance in Private 5G: A Measurement Campaign and Case Study
by: Jörgensen, Nils
Published: (2026)

Benchmarking Anomaly Detection Across Heterogeneous Cloud Telemetry Datasets
by: Islam, Mohammad Saiful, et al.
Published: (2026)

Quantum Gated Recurrent GAN with Gaussian Uncertainty for Network Anomaly Detection
by: Hammami, Wajdi, et al.
Published: (2025)

Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications
by: Song, Tailai, et al.
Published: (2024)

Multi-Scale Convolutional LSTM with Transfer Learning for Anomaly Detection in Cellular Networks
by: Noonari, Nooruddin, et al.
Published: (2024)

CNN+Transformer Based Anomaly Traffic Detection in UAV Networks for Emergency Rescue
by: Han, Yulu, et al.
Published: (2025)

ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection
by: Luo, Xuanhao, et al.
Published: (2025)

Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study
by: Pekar, Adrian, et al.
Published: (2024)

Enhancing Anomaly-Based Intrusion Detection Systems with Process Mining
by: Vitale, Francesco, et al.
Published: (2026)

Sim2Field: End-to-End Development of AI RANs for 6G
by: Ford, Russell, et al.
Published: (2025)

Anomaly Detection for IoT Global Connectivity
by: Iglesias, Jesus Omaña, et al.
Published: (2025)

On-Demand Video Dispatch Networks: A Scalable End-to-End Learning Approach
by: Yang, Damao, et al.
Published: (2018)

Carbon-Aware End-to-End Data Movement
by: Goldverg, Jacob, et al.
Published: (2024)

Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models
by: Yang, Ze, et al.
Published: (2025)

Security, Privacy and System-Level Resillience of 6G End-to-End System: Hexa-X-II Perspective
by: Porambage, Pawani, et al.
Published: (2026)

Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer
by: Hasan, Antor, et al.
Published: (2024)

DDPG-E2E: A Novel Policy Gradient Approach for End-to-End Communication Systems
by: Zhang, Bolun, et al.
Published: (2024)

End-to-End Delivery in LEO Mega-constellations and the Reordering Problem
by: Frederiksen, Rasmus Sibbern, et al.
Published: (2024)

LLM-Enabled Data Transmission in End-to-End Semantic Communication
by: Salehi, Shavbo, et al.
Published: (2025)

An End-to-End Assurance Framework for AI/ML Workloads in Datacenters
by: Gupta, Jit, et al.
Published: (2025)

Rural Handover Parameter Tuning to Achieve End to End Latency Requirements of Future Railway Mobile Communication Systems
by: Atik, Dogukan, et al.
Published: (2024)

Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
by: Zhang, Zifan, et al.
Published: (2024)

Exploring the Ecosystem of DNS HTTPS Resource Records: An End-to-End Perspective
by: Dong, Hongying, et al.
Published: (2024)

Enabling Hexa-X 6G Vision: An End-to-End Architecture
by: Khorsandi, Bahare M., et al.
Published: (2024)

CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines
by: Wan, Gerry, et al.
Published: (2024)

Model-Based Diagnosis: Automating End-to-End Diagnosis of Network Failures
by: Wu, Changrong, et al.
Published: (2025)

End-to-End Latency Measurement Methodology for Connected and Autonomous Vehicle Teleoperation
by: Provost, François, et al.
Published: (2026)

A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
by: Rezakhani, Mahshid, et al.
Published: (2025)

Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing
by: Sun, Ruijin, et al.
Published: (2024)

Knowledge Graph-Based approach for Sustainable 6G End-to-End System Design
by: Jain, Akshay, et al.
Published: (2025)

Machine Learning-Driven Anomaly Detection for 5G O-RAN Performance Metrics
by: Azkaei, Babak, et al.
Published: (2025)

EDAF: An End-to-End Delay Analytics Framework for 5G-and-Beyond Networks
by: Mostafavi, Samie, et al.
Published: (2024)

5Guard: Isolation-aware End-to-End Slicing of 5G Networks
by: Bolourian, Mehdi, et al.
Published: (2025)