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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

Unique Identifier

JETIR2011092

Page Number

684-687

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Title

Intrusion Detection System using Gini Index Based Technique

ISSN

2349-5162

Cite This Article

"Intrusion Detection System using Gini Index Based Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.684-687, November-2020, Available :http://www.jetir.org/papers/JETIR2011092.pdf

Abstract

An Intrusion Detection System is a module of the software that monitors the activities occurring in a computer system or network. An intruder tries to modify the packets or fabricate the malicious packets and insert them into a set of network flows on the network. It has the capability of detecting attacks which compromise the confidentiality, integrity or availability of network resources. The proposed method uses Supervised Learning In Quest (SLIQ), a fast scalable decision tree classifier for intrusion detection. NSL-KDD Dataset is used to study effectiveness of the classification method. Accuracy metric is considered as performance metric for the proposed method. The objective of this paper is to inspect the packets in the network flow using SLIQ and to predict whether the flow is malicious or normal flow.

Key Words

Intrusion Detection System (IDS), Supervised Learning in Quest (SLIQ), Gini Index, NSL KDD Dataset, Netbeans IDE.

Cite This Article

"Intrusion Detection System using Gini Index Based Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp684-687, November-2020, Available at : http://www.jetir.org/papers/JETIR2011092.pdf

Publication Details

Published Paper ID: JETIR2011092
Registration ID: 303283
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 684-687
ISSN Number: 2349-5162

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Cite This Article

"Intrusion Detection System using Gini Index Based Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp684-687, November-2020, Available at : http://www.jetir.org/papers/JETIR2011092.pdf




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