Machine learning based network intrusion detection system
-
Updated
Feb 12, 2025 - Python
Machine learning based network intrusion detection system
IoT intrusion detection project enhancing detection accuracy of DoS/DDoS attacks through data imbalance correction using SMOTE and machine learning classifiers, achieving an F1-score of 0.999983.
Add a description, image, and links to the cic-ids-2018 topic page so that developers can more easily learn about it.
To associate your repository with the cic-ids-2018 topic, visit your repo's landing page and select "manage topics."