TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
<p>Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. By using a comprehensive dataset with multiple attack types, a well-trained model can be created to improve the anomaly detection perf...
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2020
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