ggulgun/NIDS-Intrusion-Detection

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

语言：Python · GitHub 星标：95 · Fork：37

话题：data-mining · data-mining-algorithms · data-science · dimensionality-reduction · ids · intrusion-detection · intrusion-detection-system · kdd-dataset

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