CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection

Kurniabudi, Kurniabudi; Stiawan, Deris; Darmawijoyo, Darmawijoyo; Yazid Idris, Mohd.; M. Bamhdi, Alwi; Budiarto, Rahmat

doi:10.1109/access.2020.3009843

Public

CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection

Published in IEEE Access • Jan 1, 2020

Authors:

Kurniabudi Kurniabudi

Deris Stiawan

Darmawijoyo Darmawijoyo

Abstract

Feature selection (FS) is one of the important tasks of data preprocessing in data analytics. The data with a large number of features will affect the computational complexity, increase a huge amount of resource usage and time consumption for data analytics. The objective of this study is to analyze...

Subject

C4.5 algorithm

Computer science

Naive Bayes classifier

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