Internet is a widely used technology for the data
communication in present days but as per increasing the
demand of internet number of attackers also increases in the
same proportion. To ensure the security of the network a
powerful intrusion detection system is required. The aim of
IDS system to continuously monitoreach and every activity
which are occurring over the network and also provide
accessing to the users.This paper proposes and IDS using
KNN classifier and Genetic Algorithm for network with good
feature reduction technique. The simulation of proposed
approach is done in MATLAB2012a toolbox using
KDDCUP’99 dataset. It is finally observed that the KNN
classifier gives more accurate results than the other existing
techniques and for feature selection method, information gain
ratio based feature selection is better
Real Time Impact Factor:
Pending
Author Name: Rashmi Singh , Vinay Singh , Harsh Pratap Singh , Narendra Sharma
URL: View PDF
Keywords: Feature reduction, Internet, IDS, KNN classifier, Genetic Algorithm, KDDCUP’99
ISSN:
EISSN: 2582-6948
EOI/DOI:
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