Improving AdaBoost-based Intrusion Detection System (IDS) Performance on CIC IDS 2017 Dataset

Yulianto, Arif; Sukarno, Parman; Anggis Suwastika, Novian

doi:10.1088/1742-6596/1192/1/012018

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Improving AdaBoost-based Intrusion Detection System (IDS) Performance on CIC IDS 2017 Dataset

Published in Journal of Physics Conference Series • Mar 1, 2019

Authors:

Arif Yulianto

Parman Sukarno

Novian Anggis Suwastika

Abstract

This paper considers the use of Synthetic Minority Oversampling Technique (SMOTE), Principal Component Analysis (PCA), and Ensemble Feature Selection (EFS) to improve the performance of AdaBoost-based Intrusion Detection System (IDS) on the latest and challenging CIC IDS 2017 Dataset [1]. Previous r...

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Open Access

Subject

AdaBoost

Computer science

Feature selection

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