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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 1–50 of 261 papers

TitleStatusHype
Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis—0
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs—0
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning—0
A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT SystemsCode0
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data—0
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability—0
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking—0
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems—0
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
Temporal Analysis of NetFlow Datasets for Network Intrusion Detection Systems—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection—0
CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion DetectionCode1
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems—0
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection SystemsCode0
Mapping the Landscape of Generative AI in Network Monitoring and Management—0
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection—0
Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries—0
Technical Report: Generating the WEB-IDS23 Dataset—0
Investigating Application of Deep Neural Networks in Intrusion Detection System Design—0
PolyLUT: Ultra-low Latency Polynomial Inference with Hardware-Aware Structured Pruning—0
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network SecurityCode0
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks—0
A Temporal Convolutional Network-based Approach for Network Intrusion Detection—0
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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