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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 131–140 of 261 papers

TitleStatusHype
Network Intrusion Detection System in a Light Bulb—0
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces—0
Zero-day DDoS Attack Detection—0
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach—0
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural NetworksCode1
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
An Intrusion Detection System based on Deep Belief NetworksCode1
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly DetectionCode1
CoAP-DoS: An IoT Network Intrusion Dataset—0
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