Applying Genetic Algorithm in Intrusion Detection System: A Comprehensive Review
نویسندگان
چکیده
Information Systems and Networks are subjected to electronic attacks. When network attacks hit, organizations are thrown into crisis mode. From the IT department to call centers, to the board room and beyond, all are fraught with danger until the situation is under control. Traditional methods which are used to overcome these threats (e.g. firewall, antivirus software, password protection etc.) do not provide complete security to the system. This encourages the researchers to develop an Intrusion Detection System which is capable of detecting and responding to such events. This review paper presents a comprehensive study of Genetic Algorithm (GA) based Intrusion Detection System (IDS). It provides a brief overview of rule-based IDS, elaborates the implementation issues of Genetic Algorithm and also presents a comparative analysis of existing studies.
منابع مشابه
A New Method for Intrusion Detection Using Genetic Algorithm and Neural network
Abstract— In order to provide complete security in a computer system and to prevent intrusion, intrusion detection systems (IDS) are required to detect if an attacker crosses the firewall, antivirus, and other security devices. Data and options to deal with it. In this paper, we are trying to provide a model for combining types of attacks on public data using combined methods of genetic algorit...
متن کاملA New Method for Intrusion Detection Using Genetic Algorithm and Neural Network
The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...
متن کاملA New Method for Intrusion Detection Using Genetic Algorithm and Neural Network
The article attempts to have neural network and genetic algorithm techniques present a model for classification on dataset. The goal is design model can the subject acted a firewall in network and this model with compound optimized algorithms create reliability and accuracy and reduce error rate couse of this is article use feedback neural network and compared to previous methods increase a...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
متن کاملA Parallel Genetic Algorithm Based Method for Feature Subset Selection in Intrusion Detection Systems
Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
متن کامل