The method of network intrusion detection based on the neural network GCBP algorithm

In this paper, it presented the method of network intrusion detection based on the neural network GCBP algorithm. By analyzing and comparing the BP algorithm with the GCBP algorithm, what learned is that the GCBP algorithm had overcome the weaknesses, which traditional BP algorithm has of slow convergent speed and easily getting into local minimum. Applicable effects of the method of the intrusion detection are much better, more highly accurate, and greater adaptively. I also showed the ability of more quickly learning. To a great extent, it can achieve the detection of unknown data packets, providing an effective way to efficiently and accurately realize intrusion detection.