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Reseach Article

Hybrid Intrusion Detection System: Technology and Development

by Megha Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 9
Year of Publication: 2015
Authors: Megha Gupta
10.5120/20177-2384

Megha Gupta . Hybrid Intrusion Detection System: Technology and Development. International Journal of Computer Applications. 115, 9 ( April 2015), 5-8. DOI=10.5120/20177-2384

@article{ 10.5120/20177-2384,
author = { Megha Gupta },
title = { Hybrid Intrusion Detection System: Technology and Development },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 9 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number9/20177-2384/ },
doi = { 10.5120/20177-2384 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:20.127412+05:30
%A Megha Gupta
%T Hybrid Intrusion Detection System: Technology and Development
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 9
%P 5-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In current scenario most of the intrusion detection systems (IDS) use one of the two detection methods, misused detection or Anomaly detection?both of them have their own limitations. Technology has developed the technique that combines misuse detection system with anomaly detection system (ADS) or network intrusion detection system and host-based intrusion detection system is known as hybrid intrusion detection . The aim is to increase the detection rate and decrease the false positive rate by the use of misuse detection and anomaly detection. A review on the hybrid IDS is shown in this paper. It shows several main aspects of hybrid Ids and also reviewed some major research in IDS using hybrid approach. A comparative study of performance criterions of different research is also shown in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

IDS HIDS NIDS K-Means Naive –Bayes.