Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
117
Views
2
Downloads
A New Method for Detecting Network Intrusion by Using a Combination of Genetic Algorithm and Support Vector Machine Classifier
Behrooz Mabadi Jahromy, Ali Reza Honarvar, Mojtaba Saif and Mohammad Ali Mabadi Jahromy
Page: 810-815 | Received 21 Sep 2022, Published online: 21 Sep 2022
Full Text Reference XML File PDF File
Abstract
The purpose of intrusion detection is to identify an unauthorized use, misuse and damage to computer systems and networks by either of two internal users and external attackers. In this study, we have presented a new approach based on machine learning techniques to identify malicious attacks and provide security at an accessible level for users. The introduced method uses a genetic algorithm with a statistical target function based on the data distribution to select the features and the support vector machine for classification. The results of the simulation proposed good quality of the indicative method.
How to cite this article:
Behrooz Mabadi Jahromy, Ali Reza Honarvar, Mojtaba Saif and Mohammad Ali Mabadi Jahromy. A New Method for Detecting Network Intrusion by Using a Combination of
Genetic Algorithm and Support Vector Machine Classifier.
DOI: https://doi.org/10.36478/jeasci.2016.810.815
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2016.810.815