NIDS-Intrusion-DetectionSimple 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
kdd99-scikitSolutions to kdd99 dataset with Decision tree and Neural network by scikit-learn
UNSW NB15Feature coded UNSW_NB15 intrusion detection data.
ML-ATICAbnormal Traffic Identification Classifier based on Machine Learning. My code for undergraduate graduation design.