Applications of Extreme Learning Machine in the Intrusion Detection

摘要

The BP network which based on the gradient descent algorithm has some disadvantages, such as it is very time-consuming. A new algorithm named Extreme Learning Machine (ELM) can solve the problems of BP. Put the Extreme Learning Machine (ELM) in the intrusion detection, use the KDDCUP99 dataset to compare BP neural network and ELM neural network separately by simulation experiment. The results indicate that ELM has a high convergence speed, and the detection accuracy can reach as high as 98 percent.