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Neural Network Assisted IDS/IPS: An Overview of Implementations, Benefits, and Drawbacks

by Kyle Rozendaal, Thivanka Dissanayake-Mohottalalage, Akalanka Mailewa
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 12
Year of Publication: 2022
Authors: Kyle Rozendaal, Thivanka Dissanayake-Mohottalalage, Akalanka Mailewa
10.5120/ijca2022922098

Kyle Rozendaal, Thivanka Dissanayake-Mohottalalage, Akalanka Mailewa . Neural Network Assisted IDS/IPS: An Overview of Implementations, Benefits, and Drawbacks. International Journal of Computer Applications. 184, 12 ( May 2022), 21-28. DOI=10.5120/ijca2022922098

@article{ 10.5120/ijca2022922098,
author = { Kyle Rozendaal, Thivanka Dissanayake-Mohottalalage, Akalanka Mailewa },
title = { Neural Network Assisted IDS/IPS: An Overview of Implementations, Benefits, and Drawbacks },
journal = { International Journal of Computer Applications },
issue_date = { May 2022 },
volume = { 184 },
number = { 12 },
month = { May },
year = { 2022 },
issn = { 0975-8887 },
pages = { 21-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number12/32376-2022922098/ },
doi = { 10.5120/ijca2022922098 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:21:16.238758+05:30
%A Kyle Rozendaal
%A Thivanka Dissanayake-Mohottalalage
%A Akalanka Mailewa
%T Neural Network Assisted IDS/IPS: An Overview of Implementations, Benefits, and Drawbacks
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 12
%P 21-28
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Modern IDS use inflexible knowledge bases, rule sets and rely on human interaction for successful threat mitigation. While this approach to network and hardware security has been effective in the past, the explosion of large data breaches in the past few years reveals a lack of effective detection for unknown or undocumented threats.We infer that a change in detection and prevention of cybercrime needs to start at the system level and use more intelligent methods of attack detection and prevention: Neural Networks and Artificial Intelligence assisted IDS. This paper gives a broad overview of the modern state of IDS/IPS systems, discusses the benefits and drawbacks of modern implementation, gives a broad overview of current research into the field of neural network-based IDS, and discusses benefits and drawbacks of NNIDS systems. Finally, we conclude with a few examples of modern implementations of NNIDS and areas for future study in the field.

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Index Terms

Computer Science
Information Sciences

Keywords

IDS/IPS Neural Network

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