A New Method for Intrusion Detection Using Genetic Algorithm and Neural Network

International Journal of Information, Security and Systems Management

مقاله 8، دوره 6، شماره 1، شهریور 2017، صفحه 656-662   

نوع مقاله: Others

نویسندگان

M.R. Hosseinzadeh Moghaddam¹؛ S. Javad Mirabedini²؛ T. banirostam²

¹Master's student of computer software engineering, Faculty of Engineering and Engineering, Central Tehran Branch

²Assistant Professor of Islamic Azad University, Central Tehran Branch

چکیده

    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 accuracy classification rate and reduce error rate. The proposed method increased with simulation accuracy of 99.97 percent.

کلیدواژه‌ها

Intrusion Detection System؛ Neural Network؛ Genetic algorithm؛ Clustring and Gravitational Search Algorithm