• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
View Item 
  •   DSpace Home
  • Fakülteler / Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • View Item
  •   DSpace Home
  • Fakülteler / Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Feature selection and multiple classifier fusion using genetic algorithms in intrusion detection systems

Thumbnail
View/Open
10.17341-gazimmfd.406781-442691.pdf (544.3Kb)
Date
2018
Author
Erdem, Hamit
Ozgur, Atilla
Metadata
Show full item record
Abstract
With the improvements in information systems, intrusion detection systems (IDS) become more important. IDS can be thought as a classification problem. An important step of classification applications is feature selection step. Nowadays, to improve accuracy of classifiers, it is recommended to use classifier fusion instead of single classifiers. This study proposes to use genetic algorithms for both feature selection and weight selection for classifier fusion in IDS. This proposed system called GA-NS-AB, has been applied to NSL-KDD dataset. Number of classifiers used in fusion changes between 2 and 8. Following classifiers have been used: Adaboost, Decision Tree, Logistic Regression, Naive Bayes, Random Forests, Gradient Boosting, K-Nearest Neighbor, and Neural Networks Multi-Layer Perceptron. The results of the proposed method have been compared with simple voting and probability voting fusion methods and single classifiers. In addition, GA-NS-AB is also compared with previous results. GA-NS-AB is a high accuracy classifier fusion that reduces test and training time.
URI
https://dergipark.org.tr/download/article-file/442691
http://hdl.handle.net/11727/3298
Collections
  • Mühendislik Fakültesi / Faculty of Engineering [118]

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Politika
Açık Bilim Politikası
Kullanıcı Rehberi
Başkent Üniversitesi Kütüphanesi
Başkent Üniversitesi

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageCategoryThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageCategory

My Account

LoginRegister

Statistics

View Usage Statistics

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV