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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 111–120 of 261 papers

TitleStatusHype
Attribute Learning for Network Intrusion Detection—0
Explaining Network Intrusion Detection System Using Explainable AI Framework—0
Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection—0
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces—0
Exploring Edge TPU for Network Intrusion Detection in IoT—0
Extreme bandits—0
Feature Analysis for Machine Learning-based IoT Intrusion Detection—0
Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection—0
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks—0
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks—0
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