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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
Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANsCode1
LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput ApplicationsCode1
LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion DetectionCode1
netFound: Foundation Model for Network SecurityCode1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly GenerationCode1
An Intrusion Detection System based on Deep Belief NetworksCode1
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural NetworksCode1
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion DetectorsCode1
AnomalyDAE: Dual autoencoder for anomaly detection on attributed networksCode1
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier DetectionCode0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection SystemsCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion DetectionCode0
A Robust PPO-optimized Tabular Transformer Framework for Intrusion Detection in Industrial IoT SystemsCode0
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion DetectionCode0
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?Code0
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion DetectionCode0
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion DetectionCode0
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly DetectionCode0
A Novel Multi-Stage Approach for Hierarchical Intrusion DetectionCode0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
Diffusion-based Adversarial Purification for Intrusion DetectionCode0
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network SecurityCode0
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