Copertina

Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Cheng, Zi-Hang, Shang, Haopu, Qian, Chao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Neural Solver Selection for Combinatorial Optimization
di: Gao, Chengrui, et al.
Pubblicazione: (2024)

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

Confidence-aware Contrastive Learning for Selective Classification
di: Wu, Yu-Chang, et al.
Pubblicazione: (2024)

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
di: Gao, Chengrui, et al.
Pubblicazione: (2023)

SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection
di: Li, Elvin, et al.
Pubblicazione: (2025)

Shift Detection and Adaptation for Network Intrusion Detection
di: Mousavipour, Ehssan, et al.
Pubblicazione: (2025)

Continual Learning with Strategic Selection and Forgetting for Network Intrusion Detection
di: Zhang, Xinchen, et al.
Pubblicazione: (2024)

Efficient Network Traffic Feature Sets for IoT Intrusion Detection
di: Silva, Miguel, et al.
Pubblicazione: (2024)

Enhanced Intrusion Detection in IIoT Networks: A Lightweight Approach with Autoencoder-Based Feature Learning
di: Hasan, Tasnimul, et al.
Pubblicazione: (2025)

Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems
di: Dinh, Phai Vu, et al.
Pubblicazione: (2024)

An AutoML-based approach for Network Intrusion Detection
di: Gyimah, Nana Kankam, et al.
Pubblicazione: (2024)

Neurosymbolic AI Transfer Learning Improves Network Intrusion Detection
di: Tran, Huynh T. T., et al.
Pubblicazione: (2025)

Spectral Feature Extraction for Robust Network Intrusion Detection Using MFCCs
di: Lee, HyeYoung, et al.
Pubblicazione: (2025)

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

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

A Temporal Convolutional Network-based Approach for Network Intrusion Detection
di: Nazre, Rukmini, et al.
Pubblicazione: (2024)

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

Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection
di: Wang, Weixing, et al.
Pubblicazione: (2024)

Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond
di: Ilias, Loukas, et al.
Pubblicazione: (2024)

Lightweight Intrusion Detection in IoT via SHAP-Guided Feature Pruning and Knowledge-Distilled Kronecker Networks
di: Benaddi, Hafsa, et al.
Pubblicazione: (2025)

Enhanced Intrusion Detection System for Multiclass Classification in UAV Networks
di: Menssouri, Safaa, et al.
Pubblicazione: (2024)

Self-Supervised Learning of Graph Representations for Network Intrusion Detection
di: Guerra, Lorenzo, et al.
Pubblicazione: (2025)

Multi-Stage Knowledge-Distilled VGAE and GAT for Robust Controller-Area-Network Intrusion Detection
di: Frenken, Robert, et al.
Pubblicazione: (2025)

Open Set Dandelion Network for IoT Intrusion Detection
di: Wu, Jiashu, et al.
Pubblicazione: (2023)

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
di: Mou, Guanyi, et al.
Pubblicazione: (2024)

Exploring Robust Intrusion Detection: A Benchmark Study of Feature Transferability in IoT Botnet Attack Detection
di: Guerra-Manzanares, Alejandro, et al.
Pubblicazione: (2026)

MAWIFlow Benchmark: Realistic Flow-Based Evaluation for Network Intrusion Detection
di: Schraven, Joshua, et al.
Pubblicazione: (2025)

Modeling Wavelet Transformed Quantum Support Vector for Network Intrusion Detection
di: Kumari, Swati, et al.
Pubblicazione: (2025)

Tabular Diffusion based Actionable Counterfactual Explanations for Network Intrusion Detection
di: Galwaduge, Vinura, et al.
Pubblicazione: (2025)

Investigating Application of Deep Neural Networks in Intrusion Detection System Design
di: Jeje, Mofe O.
Pubblicazione: (2025)

An Efficient Privacy-preserving Intrusion Detection Scheme for UAV Swarm Networks
di: Gharami, Kanchon, et al.
Pubblicazione: (2025)

Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
di: Talpini, Jacopo, et al.
Pubblicazione: (2023)

A Survey of Learning-Based Intrusion Detection Systems for In-Vehicle Network
di: Althunayyan, Muzun, et al.
Pubblicazione: (2025)

Robust Semi-Supervised Temporal Intrusion Detection for Adversarial Cloud Networks
di: Chattopadhyay, Anasuya, et al.
Pubblicazione: (2026)

An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection
di: Vitorino, João, et al.
Pubblicazione: (2024)

Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning
di: Tran, Huynh T. T., et al.
Pubblicazione: (2025)

LEMDA: A Novel Feature Engineering Method for Intrusion Detection in IoT Systems
di: Ghubaish, Ali, et al.
Pubblicazione: (2024)

CND-IDS: Continual Novelty Detection for Intrusion Detection Systems
di: Fuhrman, Sean, et al.
Pubblicazione: (2025)

CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
di: Jahin, Md Abrar, et al.
Pubblicazione: (2025)

Robust and Explainable Divide-and-Conquer Learning for Intrusion Detection
di: Zhou, Yan, et al.
Pubblicazione: (2026)