Image de couverture de livre

A Hierarchical IDS for Zero-Day Attack Detection in Internet of Medical Things Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Uddin, Md Ashraf, Chu, Nam H., Rafeh, Reza
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Networking and Internet Architecture
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Survey of Graph Neural Network for Internet of Things and NextG Networks
par: Moorthy, Sabarish Krishna, et autres
Publié: (2024)

Evasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones
par: elShehaby, Mohamed, et autres
Publié: (2023)

A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles
par: Uddin, Md Ashraf, et autres
Publié: (2025)

Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things
par: Wang, Heqiang, et autres
Publié: (2025)

Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey
par: Kalwar, Jawad Hussain, et autres
Publié: (2024)

Distributed Swarm Learning for Edge Internet of Things
par: Wang, Yue, et autres
Publié: (2024)

A Datagram Extension to DNS over QUIC: Proven Resource Conservation in the Internet of Things
par: Saif, Darius, et autres
Publié: (2025)

Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
par: Kok, Ibrahim, et autres
Publié: (2022)

Reconfigurable Edge Hardware for Intelligent IDS: Systematic Approach
par: Foudhaili, Wadid, et autres
Publié: (2024)

A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things
par: Homaei, Mohammadhossein, et autres
Publié: (2025)

Technical Report: Generating the WEB-IDS23 Dataset
par: Lanfer, Eric, et autres
Publié: (2025)

Personalized Hierarchical Split Federated Learning in Wireless Networks
par: Pervej, Md-Ferdous, et autres
Publié: (2024)

Dynamic Preference Multi-Objective Reinforcement Learning for Internet Network Management
par: Heo, DongNyeong, et autres
Publié: (2025)

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks
par: Pervej, Md Ferdous, et autres
Publié: (2023)

Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
par: Pervej, Md Ferdous, et autres
Publié: (2024)

Topologies in the Internet of Medical Things (IoMT), literature review
par: Chango, Wilson, et autres
Publié: (2024)

Generative AI for Low-Carbon Artificial Intelligence of Things with Large Language Models
par: Wen, Jinbo, et autres
Publié: (2024)

Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
par: Pervej, Md Ferdous, et autres
Publié: (2023)

MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking
par: Hossain, Md. Kamrul, et autres
Publié: (2026)

LEAD-Drift: Real-time and Explainable Intent Drift Detection by Learning a Data-Driven Risk Score
par: Hossain, Md. Kamrul, et autres
Publié: (2026)

Context-Aware Hybrid Routing in Bluetooth Mesh Networks Using Multi-Model Machine Learning and AODV Fallback
par: Islam, Md Sajid, et autres
Publié: (2025)

The Internet of Things in the Era of Generative AI: Vision and Challenges
par: Wang, Xin, et autres
Publié: (2024)

UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection
par: Alzubi, Saif, et autres
Publié: (2026)

An Online Ensemble Learning Model for Detecting Attacks in Wireless Sensor Networks
par: Tabbaa, Hiba, et autres
Publié: (2022)

On the Performance of Non-Terrestrial Networks to Support the Internet of Things
par: Wang, Dengke, et autres
Publié: (2022)

Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
par: Yu, Hanzhi, et autres
Publié: (2026)

A Model Drift Detection and Adaptation Framework for 5G Core Networks
par: Manias, Dimitrios Michael, et autres
Publié: (2022)

SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
par: Vitorino, João, et autres
Publié: (2023)

Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
par: Martinez, Fernando, et autres
Publié: (2024)

Fault Detection in Mobile Networks Using Diffusion Models
par: Nabeel, Mohamad, et autres
Publié: (2024)

Early Detection of Network Service Degradation: An Intra-Flow Approach
par: Bicski, Balint, et autres
Publié: (2024)

From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks
par: Wen, Jinbo, et autres
Publié: (2023)

An Overview of Machine Learning-Enabled Network Softwarization for the Internet of Things
par: Zormati, Mohamed Ali, et autres
Publié: (2024)

Enabling Architecture for Distributed Intelligent Network Softwarization for the Internet of Things
par: Zormati, Mohamed Ali, et autres
Publié: (2024)

Quantum Gated Recurrent GAN with Gaussian Uncertainty for Network Anomaly Detection
par: Hammami, Wajdi, et autres
Publié: (2025)

ML-Enabled Eavesdropper Detection in Beyond 5G IIoT Networks
par: Bartsioka, Maria-Lamprini A., et autres
Publié: (2025)

Link-Aware Energy-Frugal Continual Learning for Fault Detection in IoT Networks
par: Frederiksen, Henrik C. M., et autres
Publié: (2025)

CNN+Transformer Based Anomaly Traffic Detection in UAV Networks for Emergency Rescue
par: Han, Yulu, et autres
Publié: (2025)

ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection
par: Luo, Xuanhao, et autres
Publié: (2025)

Towards Reliable AI in 6G: Detecting Concept Drift in Wireless Network
par: Tziouvaras, Athanasios, et autres
Publié: (2025)