Performance of Intrusion Detection System Using Bagging Ensemble with SDN-Base Classifier

Performance of Intrusion Detection System Using Bagging Ensemble with SDN-Base Classifier

Intrusion Detection System (IDS) is a system for detecting suspicious activity on a network. Many machine learning-based IDS approaches have been built to detect intrusion. However, along with the development of types of attacks, currently the application of IDS has not been maximally successful whe...

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Bibliographic Details
Main Authors: Amarudin, Amarudin, Ferdiana, Ridi, Widyawan, Widyawan
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
Electrical and Electronic Engineering not elsewhere classified
Online Access:https://repository.ugm.ac.id/282167/1/Amarudin%20et%20al%20-%202022%20-%20Performance_of_Intrusion_Detection_System_Using_Bagging_Ensemble_with_SDN-Base_Classifier.pdf

Internet

https://repository.ugm.ac.id/282167/1/Amarudin%20et%20al%20-%202022%20-%20Performance_of_Intrusion_Detection_System_Using_Bagging_Ensemble_with_SDN-Base_Classifier.pdf

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