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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

Showing 76100 of 261 papers

TitleStatusHype
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection0
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems0
Attribute Learning for Network Intrusion Detection0
A new semi-supervised inductive transfer learning framework: Co-Transfer0
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems0
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection0
A Transfer Learning Approach for Network Intrusion Detection0
A Temporal Convolutional Network-based Approach for Network Intrusion Detection0
A New Intrusion Detection System using the Improved Dendritic Cell Algorithm0
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI0
A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm0
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection0
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection0
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier0
Assessing Cyclostationary Malware Detection via Feature Selection and Classification0
ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors0
An AutoML-based approach for Network Intrusion Detection0
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats0
Active Learning for Network Intrusion Detection0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS0
Early Detection of Network Attacks Using Deep Learning0
DualNet: Locate Then Detect Effective Payload with Deep Attention Network0
EdgeServe: A Streaming System for Decentralized Model Serving0
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection0
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response0
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