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A Comparative Study of Deep Learning Models for Network Intrusion Detection

by Jyoti Khurana, Vachali Aggarwal, Harjinder Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 23
Year of Publication: 2021
Authors: Jyoti Khurana, Vachali Aggarwal, Harjinder Singh
10.5120/ijca2021921135

Jyoti Khurana, Vachali Aggarwal, Harjinder Singh . A Comparative Study of Deep Learning Models for Network Intrusion Detection. International Journal of Computer Applications. 174, 23 ( Mar 2021), 38-46. DOI=10.5120/ijca2021921135

@article{ 10.5120/ijca2021921135,
author = { Jyoti Khurana, Vachali Aggarwal, Harjinder Singh },
title = { A Comparative Study of Deep Learning Models for Network Intrusion Detection },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2021 },
volume = { 174 },
number = { 23 },
month = { Mar },
year = { 2021 },
issn = { 0975-8887 },
pages = { 38-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number23/31818-2021921135/ },
doi = { 10.5120/ijca2021921135 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:22:56.106234+05:30
%A Jyoti Khurana
%A Vachali Aggarwal
%A Harjinder Singh
%T A Comparative Study of Deep Learning Models for Network Intrusion Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 23
%P 38-46
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the advancement of digital technologies, cybersecurity is attracting more attention as cyber-attacks are becoming more frequent and threatening. A marked upturn has been noticed in the volume and creativity of hacks and cyberattacks. Artificial Intelligence (AI) and Deep Learning (DL) can help address these concerns by contributing to threat detection. They can recognize patterns in data, enabling security systems to learn from former experience. This paper concerns the comparative evaluation of the several techniques of deep learning employed for network intrusion detection.

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Index Terms

Computer Science
Information Sciences

Keywords

Cybersecurity Deep Learning Deep Neural Networks Intrusion Detection Anomaly Detection Network Intrusion Detection

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