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What is Efficient IDS Using SVM and Feature Reduction about?

This document presents an efficient intrusion detection system (IDS) that utilizes support vector machines (SVM) and a gradually feature removal method to enhance accuracy and reduce training time. The proposed system achieves an accuracy of 98.6249% through a combination of clustering, ant colony optimization, and feature selection techniques, identifying 19 critical features from the KDD99 dataset. The study highlights the importance of effective feature reduction in improving the performance of IDS model

Author

fuushi97

Language

EN