Linear Discriminant Analysis based Hybrid SVM-CART for Intrusion Detection System

  Navdeep Singh,  Ishpreet Singh Virk

Intrusion Detection System has been a major problem of research for a long time. Researchers have tried different clustering algorithms for accurately classifying the intrusion detection system data so that it can be utilized in the real time monitoring. In this research work a Linear Discriminant Analysis based Support Vector Machine-CART algorithm for classification intrusion detection system data is implemented. The linear discriminant analysis is used for accurately predicting the important features from the highly dimensional data. Reducing the dimensions of the data improves the computation time. A linear line is drawn as vector and the classification is done giving more weightage to the SVM for data points which are close to the line. For distant points, the CART algorithm is given more weightage. The hybrid algorithm performs quite better than the other algorithms and it is found to give better results in terms of accuracy, precision, recall

Keywords- intrusion detection, SVM-CART

Unique Identification Number - IJEDR1504078
Page Number(s) - 487-493
Pubished in - Volume 3 | Issue 4 | December 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Navdeep Singh,  Ishpreet Singh Virk,   "Linear Discriminant Analysis based Hybrid SVM-CART for Intrusion Detection System", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 4, pp.487-493, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504078.pdf