Cover Image

On the Performance of Cyber-Biomedical Features for Intrusion Detection in Healthcare 5.0

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lui, Pedro H., Siqueira, Lucas P., Kazienko, Juliano F., Quincozes, Vagner E., Quincozes, Silvio E., Welfer, Daniel
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

NetSecBed: A Container-Native Testbed for Reproducible Cybersecurity Experimentation
by: Bitzki, Leonardo, et al.
Published: (2026)

SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification
by: Akter, Rajana, et al.
Published: (2024)

Feature Selection for Network Intrusion Detection
by: Westphal, Charles, et al.
Published: (2024)

BRIDG-ICS: AI-Grounded Knowledge Graphs for Intelligent Threat Analytics in Industry~5.0 Cyber-Physical Systems
by: Nandiya, Padmeswari, et al.
Published: (2025)

ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System
by: Puccetti, Tommaso, et al.
Published: (2024)

When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions
by: Qi, Minfeng, et al.
Published: (2026)

Enhancing Network Intrusion Detection Performance using Generative Adversarial Networks
by: Zhao, Xinxing, et al.
Published: (2024)

Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions
by: Khan, Naseem, et al.
Published: (2024)

An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management
by: Gupta, Kishu, et al.
Published: (2024)

Energy Cyber Attacks to Smart Healthcare Devices: A Testbed
by: Alwaisi, Zainab, et al.
Published: (2024)

The Role of Learning in Attacking ML-based Network Intrusion Detection
by: Domico, Kyle, et al.
Published: (2026)

A Crowdsensing Intrusion Detection Dataset For Decentralized Federated Learning Models
by: Feng, Chao, et al.
Published: (2025)

Feature Attribution in 5G Intrusion Detection: A Statistical vs. Logic-Based Comparison
by: Uccello, Federica, et al.
Published: (2025)

Consistent and Compatible Modelling of Cyber Intrusions and Incident Response Demonstrated in the Context of Malware Attacks on Critical Infrastructure
by: Maynard, Peter, et al.
Published: (2025)

LiteShield: Hybrid Feature Selection-Driven Lightweight Intrusion Detection for Resource-Constrained IoT Networks
by: Mabulage, Dileepa, et al.
Published: (2026)

On the Challenges of Holistic Intrusion Detection in ICS
by: Lenz, Stefan, et al.
Published: (2026)

Cybersecurity and Frequent Cyber Attacks on IoT Devices in Healthcare: Issues and Solutions
by: ElSayed, Zag, et al.
Published: (2025)

Optimizing Intrusion Detection System Performance Through Synergistic Hyperparameter Tuning and Advanced Data Processing
by: Saidane, Samia, et al.
Published: (2024)

XAI-based Feature Selection for Improved Network Intrusion Detection Systems
by: Arreche, Osvaldo, et al.
Published: (2024)

Deployment Challenges of Industrial Intrusion Detection Systems
by: Wolsing, Konrad, et al.
Published: (2024)

Systematic Integration of Digital Twins and Constrained LLMs for Interpretable Cyber-Physical Anomaly Detection
by: Kampourakis, Konstantinos E., et al.
Published: (2026)

Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions
by: Ravipati, Hemanth
Published: (2025)

Intelligent Green Efficiency for Intrusion Detection
by: Pereira, Pedro, et al.
Published: (2024)

FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
by: Boswell, Bradley, et al.
Published: (2025)

ACORN-IDS: Adaptive Continual Novelty Detection for Intrusion Detection Systems
by: Fuhrman, Sean, et al.
Published: (2026)

CITADEL: Continual Anomaly Detection for Enhanced Learning in IoT Intrusion Detection
by: Li, Elvin, et al.
Published: (2025)

Understanding AI Methods for Intrusion Detection and Cryptographic Leakage
by: Zilouchian, Reza, et al.
Published: (2026)

Quantization-aware Neural Architectural Search for Intrusion Detection
by: Acharya, Rabin Yu, et al.
Published: (2023)

Russian Cyber Onslaught was Blunted by Ukrainian Cyber Resilience, not Merely Security
by: Kott, Alexander, et al.
Published: (2024)

Exploring Emerging Trends in 5G Malicious Traffic Analysis and Incremental Learning Intrusion Detection Strategies
by: Wang, Zihao, et al.
Published: (2024)

Evaluating Tabular Representation Learning for Network Intrusion Detection
by: Butt, Muhammad Usman, et al.
Published: (2026)

Evaluating MCC for Low-Frequency Cyberattack Detection in Imbalanced Intrusion Detection Data
by: Thiyagarajan, Prameshwar, et al.
Published: (2025)

CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN bus
by: Oberti, Franco, et al.
Published: (2025)

A PUF-Based Security Framework for Fault and Intrusion Detection
by: Oun, Ahmed, et al.
Published: (2026)

Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey
by: Gueriani, Afrah, et al.
Published: (2024)

QML-IDS: Quantum Machine Learning Intrusion Detection System
by: Abreu, Diego, et al.
Published: (2024)

Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
by: Hossain, Md Zakir, et al.
Published: (2026)

No Data? No Problem: Synthesizing Security Graphs for Better Intrusion Detection
by: Huang, Yi, et al.
Published: (2025)

SoK: Harmonizing Attack Graphs and Intrusion Detection Systems
by: Agiollo, Andrea, et al.
Published: (2026)

Intrusion Detection System Using Deep Learning for Network Security
by: Chatterjee, Soham, et al.
Published: (2025)