FUZZY BASED SUPPORT VECTOR MACHINE CLASSIFIER WITH WIENER FILTER (FSVM – WF) FOR INTRUSION DETECTION SYSTEM

Abstract

This research work aims in design and development of fuzzy based support vector machine classifier with wiener filter (FSVM – WF)
for intrusion detection system. The proposed research work performs pre-processing using wiener filter. Then fuzzy logic system is added up
with support vector machine for performing the classification task. KDD cup’99 dataset that contains four major types of attacks in the network
is chosen for performing FSVM-WF classification. Performance metrics detection rate and false alarm rate are chosen. Simulation results shows
that the proposed FSVM-WF classifier outperforms in terms of improved detection rate and reduced false alarm rate.

Keywords: Wiener Filter, Intrusion Detection System, Fuzzy Logic System, KDD cup’99, FSVM-WF.