The week's pick
Reseach Article
Conceptual Framework for Soft Computing based Intrusion Detection to Reduce False Positive Rate
by
Dharmendra G. Bhatti,
P. V. Virparia,
Bankim Patel
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 44 - Number 13 |
| Year of Publication: 2012 |
| Authors: Dharmendra G. Bhatti, P. V. Virparia, Bankim Patel |
10.5120/6320-8667
|
Dharmendra G. Bhatti, P. V. Virparia, Bankim Patel . Conceptual Framework for Soft Computing based Intrusion Detection to Reduce False Positive Rate. International Journal of Computer Applications. 44, 13 ( April 2012), 1-3. DOI=10.5120/6320-8667
@article{
10.5120/6320-8667,
author = {
Dharmendra G. Bhatti,
P. V. Virparia,
Bankim Patel
},
title = { Conceptual Framework for Soft Computing based Intrusion Detection to Reduce False Positive Rate },
journal = {
International Journal of Computer Applications
},
issue_date = { April 2012 },
volume = { 44 },
number = { 13 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = {
1-3
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume44/number13/6320-8667/
},
doi = { 10.5120/6320-8667 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:26.450414+05:30
%A Dharmendra G. Bhatti
%A P. V. Virparia
%A Bankim Patel
%T Conceptual Framework for Soft Computing based Intrusion Detection to Reduce False Positive Rate
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 13
%P 1-3
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract
As the popularity and usage of Internet increases security concerns are also become important. Everyone want to be connected to the world through Internet protecting own resources. Intrusion Detection System is one of lucrative area for researchers since long. Numbers of researchers have worked for increasing efficiency of Intrusion Detection Systems. But still many challenges are present in modern Intrusion Detection Systems. One of the major challenges is controlling false positive rate. In this paper we have proposed Soft Computing based Intrusion Detection. We have suggested Genetic Algorithm based solution for Intrusion Detection. In place of standalone Genetic Algorithm we have proposed ensemble soft computing techniques for better results.
References
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Index Terms
Computer Science
Information Sciences
Keywords