Author/Authors :
Hosseinzadeh Moghaddam, M.R. Department of Computer Engineering - Central Tehran Branch Islamic Azad University, Tehran , Mirabedini, Javad Central Tehran Branch Islamic Azad University, Tehran , banirostam, T. Central Tehran Branch Islamic Azad University, Tehran
Abstract :
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.
Keywords :
Intrusion Detection System , Neural Network , Genetic Algorithm , Clustring and Gravitational Search Algorithm
