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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 241–250 of 261 papers

TitleStatusHype
Synthesis of Adversarial DDOS Attacks Using Tabular Generative Adversarial NetworksCode0
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion DetectionCode0
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection SystemsCode0
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion DetectionCode0
Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion DetectionCode0
Separating Flows in Encrypted Tunnel TrafficCode0
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion DetectionCode0
Synthesis of a Machine Learning Model for Detecting Computer Attacks Based on the CICIDS2017 DatasetCode0
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?Code0
A Novel Multi-Stage Approach for Hierarchical Intrusion DetectionCode0
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