Network intrusion detection method based on parallel support vector machines
Jun Ma · Computer Engineering and Applications Journal · 2007
In this paper,a network intrusion detection method based on PSVMs is constructed.Multiple PSVMs can run at distributed computer system environment.Using feedback to update the initial classifiers,avoid the problem that the learning performance is subject to the distribution state of the data samples in different subsets.Comparison of detection ability between the above detection method and BP neural network,the experiments show that this method can achieve high detection efficiency and low false positive efficiency.And it is superior to traditional BP network method in training time,and has better general ability.