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Evolutionary Memetic Models for Malware Intrusion Detection: A Comparative Quest for Computational Solution and Convergence

by I. P. Okobah, A. A. Ojugo
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 39
Year of Publication: 2018
Authors: I. P. Okobah, A. A. Ojugo
10.5120/ijca2018916586

I. P. Okobah, A. A. Ojugo . Evolutionary Memetic Models for Malware Intrusion Detection: A Comparative Quest for Computational Solution and Convergence. International Journal of Computer Applications. 179, 39 ( May 2018), 34-43. DOI=10.5120/ijca2018916586

@article{ 10.5120/ijca2018916586,
author = { I. P. Okobah, A. A. Ojugo },
title = { Evolutionary Memetic Models for Malware Intrusion Detection: A Comparative Quest for Computational Solution and Convergence },
journal = { International Journal of Computer Applications },
issue_date = { May 2018 },
volume = { 179 },
number = { 39 },
month = { May },
year = { 2018 },
issn = { 0975-8887 },
pages = { 34-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number39/29340-2018916586/ },
doi = { 10.5120/ijca2018916586 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:57:53.872270+05:30
%A I. P. Okobah
%A A. A. Ojugo
%T Evolutionary Memetic Models for Malware Intrusion Detection: A Comparative Quest for Computational Solution and Convergence
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 39
%P 34-43
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data security is now a pertinent issue with advent of the Internet. Methods like cryptography, firewalls and gateways used to prevent attacks on data are becoming unsuccessful. Thus, the need for Intrusion Detection System to enhance security efforts. Varying machine learning models are implemented for rule-based IDS using DARPA dataset to train and generate rules for classification via support-confidence framework and a common fitness function to judge quality of each rule. This will help detect network anomalies, new attack types via rules and allow their addition into knowledgebase. Study presents results of the various stochastic models used with an aim to improve data security and integrity for networked resources.

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Index Terms

Computer Science
Information Sciences

Keywords

Intrusion evolutionary forensic data security adversaries hackers.

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