Multi-class intrusion detection using machine learning algorithms

Implementation Details: We have used KDD dataset with multiple class intrusion namely DDOS, U2R, R2L, Probe, Normal, Unknown We have pre-processed dataset by using the following numbers instead of attack type (class value) dos = [1] u2r = [2] r2l = [3] probe = [4] normal = [5] unknown = [6] We applied machine learning algorithm namely, Logistic regression, Decision Tree and Random Forest. Out of which Logistic regression outperforms interms of accuracy Python Demo

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