A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Bibers, Ismail, Arreche, Osvaldo, Abdallah, Mustafa |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
XAI-based Feature Selection for Improved Network Intrusion Detection Systems
by: Arreche, Osvaldo, et al.
Published: (2024)
by: Arreche, Osvaldo, et al.
Published: (2024)
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
by: Arreche, Osvaldo, et al.
Published: (2025)
by: Arreche, Osvaldo, et al.
Published: (2025)
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks
by: Mustafa, Osama, et al.
Published: (2024)
by: Mustafa, Osama, et al.
Published: (2024)
Explainable AI for Comparative Analysis of Intrusion Detection Models
by: Corea, Pap M., et al.
Published: (2024)
by: Corea, Pap M., et al.
Published: (2024)
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
by: Lin, Zong-Zhi, et al.
Published: (2022)
by: Lin, Zong-Zhi, et al.
Published: (2022)
AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN)
by: Guerra, Lorenzo, et al.
Published: (2024)
by: Guerra, Lorenzo, et al.
Published: (2024)
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries
by: Çolhak, Furkan, et al.
Published: (2025)
by: Çolhak, Furkan, et al.
Published: (2025)
Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems
by: Ables, Jesse, et al.
Published: (2024)
by: Ables, Jesse, et al.
Published: (2024)
Open Set Dandelion Network for IoT Intrusion Detection
by: Wu, Jiashu, et al.
Published: (2023)
by: Wu, Jiashu, et al.
Published: (2023)
Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
by: Zhang, Xinchen, et al.
Published: (2024)
by: Zhang, Xinchen, et al.
Published: (2024)
Privacy-Preserving Intrusion Detection using Convolutional Neural Networks
by: Kodys, Martin, et al.
Published: (2024)
by: Kodys, Martin, et al.
Published: (2024)
LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems
by: Ghubaish, Ali, et al.
Published: (2024)
by: Ghubaish, Ali, et al.
Published: (2024)
Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection
by: Høyheim, Eirik, et al.
Published: (2026)
by: Høyheim, Eirik, et al.
Published: (2026)
Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection
by: Guerra-Manzanares, Alejandro, et al.
Published: (2026)
by: Guerra-Manzanares, Alejandro, et al.
Published: (2026)
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection
by: Zhang, Han, et al.
Published: (2024)
by: Zhang, Han, et al.
Published: (2024)
Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
by: Al-Hammouri, Mohammad F., et al.
Published: (2025)
by: Al-Hammouri, Mohammad F., et al.
Published: (2025)
Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
by: Chaudhary, Devashish, et al.
Published: (2026)
by: Chaudhary, Devashish, et al.
Published: (2026)
Impacts of Data Preprocessing and Hyperparameter Optimization on the Performance of Machine Learning Models Applied to Intrusion Detection Systems
by: Lima, Mateus Guimarães, et al.
Published: (2024)
by: Lima, Mateus Guimarães, et al.
Published: (2024)
Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems
by: Yakubu, Paul Badu, et al.
Published: (2025)
by: Yakubu, Paul Badu, et al.
Published: (2025)
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
by: Dehrouyeh, Fatemeh, et al.
Published: (2024)
by: Dehrouyeh, Fatemeh, et al.
Published: (2024)
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
by: Farrukh, Yasir Ali, et al.
Published: (2024)
by: Farrukh, Yasir Ali, et al.
Published: (2024)
A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks
by: Biswas, Tarun Kumar, et al.
Published: (2025)
by: Biswas, Tarun Kumar, et al.
Published: (2025)
Diffusion-based Adversarial Purification for Intrusion Detection
by: Merzouk, Mohamed Amine, et al.
Published: (2024)
by: Merzouk, Mohamed Amine, et al.
Published: (2024)
Clustering-Enhanced Domain Adaptation for Cross-Domain Intrusion Detection in Industrial Control Systems
by: Wang, Luyao
Published: (2026)
by: Wang, Luyao
Published: (2026)
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems
by: Dinh, Phai Vu, et al.
Published: (2024)
by: Dinh, Phai Vu, et al.
Published: (2024)
A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges
by: Tripathy, Sudhanshu Sekhar, et al.
Published: (2025)
by: Tripathy, Sudhanshu Sekhar, et al.
Published: (2025)
HybridGuard: Enhancing Minority-Class Intrusion Detection in Dew-Enabled Edge-of-Things Networks
by: Kara, Binayak, et al.
Published: (2025)
by: Kara, Binayak, et al.
Published: (2025)
ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection
by: Khan, Irfan, et al.
Published: (2023)
by: Khan, Irfan, et al.
Published: (2023)
Enhancing Intrusion Detection in IoT Environments: An Advanced Ensemble Approach Using Kolmogorov-Arnold Networks
by: Amouri, Amar, et al.
Published: (2024)
by: Amouri, Amar, et al.
Published: (2024)
ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks
by: Sheikhi, Saeid, et al.
Published: (2026)
by: Sheikhi, Saeid, et al.
Published: (2026)
MI$^2$DAS: A Multi-Layer Intrusion Detection Framework with Incremental Learning for Securing Industrial IoT Networks
by: Lian, Wei, et al.
Published: (2026)
by: Lian, Wei, et al.
Published: (2026)
Trustworthy Intrusion Detection: Confidence Estimation Using Latent Space
by: Pitsiorlas, Ioannis, et al.
Published: (2024)
by: Pitsiorlas, Ioannis, et al.
Published: (2024)
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness
by: Arcolezi, Héber H., et al.
Published: (2025)
by: Arcolezi, Héber H., et al.
Published: (2025)
OptiFLIDS: Optimized Federated Learning for Energy-Efficient Intrusion Detection in IoT
by: Elouardi, Saida, et al.
Published: (2025)
by: Elouardi, Saida, et al.
Published: (2025)
Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems
by: Yakubu, Paul Badu, et al.
Published: (2024)
by: Yakubu, Paul Badu, et al.
Published: (2024)
From Flows to Words: Can Zero-/Few-Shot LLMs Detect Network Intrusions? A Grammar-Constrained, Calibrated Evaluation on UNSW-NB15
by: Rehman, Mohammad Abdul, et al.
Published: (2025)
by: Rehman, Mohammad Abdul, et al.
Published: (2025)
IRSKG: Unified Intrusion Response System Knowledge Graph Ontology for Cyber Defense
by: Panigrahi, Damodar, et al.
Published: (2024)
by: Panigrahi, Damodar, et al.
Published: (2024)
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
by: Pichler, Georg, et al.
Published: (2024)
by: Pichler, Georg, et al.
Published: (2024)
Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
by: Shahzad, Muhammad Khuram, et al.
Published: (2026)
by: Shahzad, Muhammad Khuram, et al.
Published: (2026)
A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems
by: Abdeljaber, Hikmat A. M., et al.
Published: (2025)
by: Abdeljaber, Hikmat A. M., et al.
Published: (2025)
Similar Items
-
XAI-based Feature Selection for Improved Network Intrusion Detection Systems
by: Arreche, Osvaldo, et al.
Published: (2024) -
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security
by: Arreche, Osvaldo, et al.
Published: (2025) -
C-RADAR: A Centralized Deep Learning System for Intrusion Detection in Software Defined Networks
by: Mustafa, Osama, et al.
Published: (2024) -
Explainable AI for Comparative Analysis of Intrusion Detection Models
by: Corea, Pap M., et al.
Published: (2024) -
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
by: Lin, Zong-Zhi, et al.
Published: (2022)