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Data Preprocessing for Reducing False Positive Rate in Intrusion Detection

by Dharmendra G. Bhatti, P. V. Virparia
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 5
Year of Publication: 2012
Authors: Dharmendra G. Bhatti, P. V. Virparia
10.5120/9110-3264

Dharmendra G. Bhatti, P. V. Virparia . Data Preprocessing for Reducing False Positive Rate in Intrusion Detection. International Journal of Computer Applications. 57, 5 ( November 2012), 15-19. DOI=10.5120/9110-3264

@article{ 10.5120/9110-3264,
author = { Dharmendra G. Bhatti, P. V. Virparia },
title = { Data Preprocessing for Reducing False Positive Rate in Intrusion Detection },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 5 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 15-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number5/9110-3264/ },
doi = { 10.5120/9110-3264 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:39.283754+05:30
%A Dharmendra G. Bhatti
%A P. V. Virparia
%T Data Preprocessing for Reducing False Positive Rate in Intrusion Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 5
%P 15-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Intrusion detection plays vital role in computer network security since long. Experience has shown that most IDS struggle for curbing false positive rate. As part of our proposed model with the objective of reducing false positive rate here we have focused on preprocessing functionality. The main objective of our preprocessing module is to reduce ambiguity and provide accurate information to detection engine. So here we have presented preprocessing module which cleans network data and handles missing or incomplete data. Preprocessing module is highly configurable. Based on the result of vulnerability assessment and network topology, hosts exists, services running, intrusion detection analyst need to configure preprocessing module. Effectiveness of preprocessing module depends on such configuration parameters and in turn knowledge of intrusion detection analyst. Preliminary analysis of our approach has shown reduction in false positive rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Preprocessing Intrusion Detection false positive reduction

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