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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 126–150 of 261 papers

TitleStatusHype
Flow Exporter Impact on Intelligent Intrusion Detection Systems—0
"Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law—0
Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings—0
From Zero-Shot Machine Learning to Zero-Day Attack Detection—0
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection—0
Generative AI-in-the-loop: Integrating LLMs and GPTs into the Next Generation Networks—0
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection—0
GowFed -- A novel Federated Network Intrusion Detection System—0
Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles—0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach—0
Host-Based Network Intrusion Detection via Feature Flattening and Two-stage Collaborative Classifier—0
Towards Network Traffic Monitoring Using Deep Transfer Learning—0
Hybrid Model For Intrusion Detection Systems—0
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset—0
1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data—0
Improving the Reliability of Network Intrusion Detection Systems through Dataset Integration—0
An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection—0
Intelligent Green Efficiency for Intrusion Detection—0
A Novel Perturb-ability Score to Mitigate Evasion Adversarial Attacks on Flow-Based ML-NIDS—0
Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset—0
Intrusion Detection using Sequential Hybrid Model—0
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System—0
Investigating Application of Deep Neural Networks in Intrusion Detection System Design—0
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection—0
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation—0
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