Title :
Intelligent Intrusion Detection Based on Soft Computing
Abstract :
Aiming at false negative rate and false alart rate which exist generally in the intrusion detection system, a intelligent intrusion detection model is proposed in this paper. Based on the characteristics of global superiority of genetic algorithm and locality of nerve, the model optimizes the weights of the neural network using genetic algorithm. Experiment results show that the intelligent way can improve the efficiency of the intrusion detection.
Keywords :
Computational modeling; Computers; Genetic algorithms; Genetics; Intrusion detection; Neural networks; Training; genetic algorithm; intelligent intrusion detection; neural network; soft computing;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
DOI :
10.1109/ICMTMA.2015.145
