A novel intrusion detection method based on conjugate gradient neural network

With the explosive growth of network information, people access to informationa and share resources through the network more conviently. Network has thus become the most colorful virtual world constructed by human. Although the network has brought great benefits to our society, it also suffers from many kinds of attacks. With the extension of the network, security problems are concerned by more and more people. people are eager to require a comprehensive, complete, reliable security solution program to guarantee that the activities carried out on the Web without any interference. Some algorithms that has applied to intrusion detection may alleviate this problem, but the large effect is not obvious. In this paper we propose a novel intrusion detection method based on conjugate gradient algorithm and it effectively improves the detection efficiency and fault-tolerance, so that some insecurity on the network in time can be detected.