November 22, 2024
Habib Rostami

Habib Rostami

Academic Rank: Associate professor
Address:
Degree: Ph.D in Computer Engineering
Phone: 0773
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title A Model to Improve the Performance of Intrusion Detection System Based on the Genetic Algorithm
Type Article
Keywords
Journal International Journal of Advanced Science and Technology
DOI
Researchers Habib Rostami (Second researcher) , gholamreza Ahmadi (Third researcher)

Abstract

According to growing ICT and human dependence on it, maintaining availability, integrity and confidentiality of information is so critical. So in this context we must protect data and networks from attacks and illegal influences. Therefore intrusion detection systems have become one of the most important issues and investigations to improve its ability, speed and flexibility in the face of Zero day's cyber-attacks. In this paper, after introducing the computer network attacks and going over the genetic algorithm, a model will be presented based on the genetic algorithm and by using inheritance features to detect the Zero day intrusions or converted types of the existing attacks(infiltration ways), and implemented it on WEKA software. Finally examine the relevant index of proposed model.