A Review for an Intrusion Detection System Combined with Neural Network

Intrusion detection system has become a core component in computer network era. It is expanding day by day. That is why, there is a need for security from attackers, spammers and criminal enterprises as they are growing up with the expansion of Internet. An Intrusion Detection System is integrated with neural network using layered framework to build an effective computer network. This existing system is experimented with KDD 1999 dataset. It works for offline dataset. This system is compared with existing approaches of intrusion detection system which either uses neural network or layered framework and shows the higher accuracy. In this way, a new system can be proposed in which data can be used as Real Time data set. The system can be used to implement the Real Time Host based attacks. This system is useful in online environment. Also it provides high accuracy with less false alarm rates. Keywords— IDS; neural network; layered framework; KDD cup 99 dataset, Real Time Host based attacks.