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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 231–240 of 261 papers

TitleStatusHype
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier—0
Active Learning for Network Intrusion Detection—0
Rallying Adversarial Techniques against Deep Learning for Network Security—0
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework—0
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks—0
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternativesCode0
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber SecurityCode0
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks—0
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier DetectionCode0
V-CNN: When Convolutional Neural Network encounters Data Visualization—0
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