UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 2 Issue 6
June-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1506034


Registration ID:
150647

Page Number

1869-1878

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Title

Effective Intrusion Detection System using Data Mining Technique

Abstract

Network Security has become the key foundation with the tremendous increase in usage of network-based services and information sharing on networks. Intrusion poses a serious risk to the network security and compromise integrity, confidentiality & availability of the computer and network resources. Human classification of network audit data is expensive, time consuming and a tedious job. Intrusion Detection System (IDS) is one of the looms to detect attacks and anomalies in the network. Data mining technique has been widely applied in the network intrusion detection system by extracting useful knowledge from large number of network data. In this paper a hybrid model is proposed that integrates Anomaly based Intrusion detection technique with Signature based Intrusion detection technique is divided into two stages. In first stage, the signature based IDS SNORT is used to generate alerts for anomaly data. In second stage, data mining techniques “k-means + CART” is used to cascade k-means clustering and CART (Classification and Regression Trees) for classifying normal and abnormal activities. The hybrid IDS model is evaluated using KDD Cup Dataset. The proposed assemblage is introduced to maximize the effectiveness in identifying attacks and achieve high accuracy rate as well as low false alarm rate.

Key Words

Keywords- Anomaly Detection, Intrusion detection, data mining, k-means, CART, SNORT

Cite This Article

" Effective Intrusion Detection System using Data Mining Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 6, page no.1869-1878, June-2015, Available :http://www.jetir.org/papers/JETIR1506034.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

" Effective Intrusion Detection System using Data Mining Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 6, page no. pp1869-1878, June-2015, Available at : http://www.jetir.org/papers/JETIR1506034.pdf

Publication Details

Published Paper ID: JETIR1506034
Registration ID: 150647
Published In: Volume 2 | Issue 6 | Year June-2015
DOI (Digital Object Identifier):
Page No: 1869-1878
Country: Ahmedabad, Gujarat, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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