What is it about?
Anomaly Intrusion Detection is important to combat cyber attacks in organization's network and system infrastructures. This alerts cyber security personnel when intrusion is detected.
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Why is it important?
To promote cybersecurity on Information Systems, our findings show that Machine Learning has the potential of improving anomaly intrusion detection by predicting and classifying network traffic accurately.
Perspectives
My this article validate how AI is advancing cybersecurity. By leveraging on Machine Learning tools and techniques, we sought to improve traditional methods.
Eva-Liisa Kafita
Niigata Daigaku
Read the Original
This page is a summary of: Stacking ensemble models with integrated classifier for network anomaly-based intrusion detection, March 2025, SPIE,
DOI: 10.1117/12.3062230.
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