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A Review and Meta-Analysis for Efficient Intrusion Detection on KDD Dataset

by Nidhi Shrivastava, Shrish Dixit, Shiv Kumar Sahu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 10
Year of Publication: 2016
Authors: Nidhi Shrivastava, Shrish Dixit, Shiv Kumar Sahu
10.5120/ijca2016912532

Nidhi Shrivastava, Shrish Dixit, Shiv Kumar Sahu . A Review and Meta-Analysis for Efficient Intrusion Detection on KDD Dataset. International Journal of Computer Applications. 156, 10 ( Dec 2016), 15-19. DOI=10.5120/ijca2016912532

@article{ 10.5120/ijca2016912532,
author = { Nidhi Shrivastava, Shrish Dixit, Shiv Kumar Sahu },
title = { A Review and Meta-Analysis for Efficient Intrusion Detection on KDD Dataset },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 156 },
number = { 10 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume156/number10/26744-2016912532/ },
doi = { 10.5120/ijca2016912532 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:14.228315+05:30
%A Nidhi Shrivastava
%A Shrish Dixit
%A Shiv Kumar Sahu
%T A Review and Meta-Analysis for Efficient Intrusion Detection on KDD Dataset
%J International Journal of Computer Applications
%@ 0975-8887
%V 156
%N 10
%P 15-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In any network based system and organization identifying the possible attacks is very crucial and important to perceive the data integrity and security. Researchers are working in this field and several works is in progress. Due to the immense use, frequently updating in the data structure and large number of intrusions nature variability there are lot of scope in this area in terms of intrusion detection and classification. The main aim of this paper is to explore the gaps in the previous techniques and find out the methodologies by which any kind of hybridization is possible which can be capable in improving the classification accuracy.

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Index Terms

Computer Science
Information Sciences

Keywords

Intrusion detection techniques KDD DOS U2R R2L and probe

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