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Network Intrusion Detection

Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.

Papers

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Showing 26–50 of 261 papers

TitleStatusHype
Continual Learning with Strategic Selection and Forgetting for Network Intrusion DetectionCode1
Flow Exporter Impact on Intelligent Intrusion Detection Systems—0
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model SelectionCode0
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond—0
Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles—0
An AutoML-based approach for Network Intrusion Detection—0
Feature Selection for Network Intrusion Detection—0
Take Package as Language: Anomaly Detection Using TransformerCode0
Intelligent Green Efficiency for Intrusion Detection—0
SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type ClassificationCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability—0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
FedMSE: Federated learning for IoT network intrusion detectionCode1
XAI-based Feature Selection for Improved Network Intrusion Detection SystemsCode0
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI—0
Data Distribution ValuationCode0
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion DetectionCode0
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection—0
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN—0
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS—0
Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic—0
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language ModelCode1
Towards Explainable Network Intrusion Detection using Large Language Models—0
Multi-agent Reinforcement Learning-based Network Intrusion Detection System—0
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