A Review of Intrusion-Detection System- Clustering and classification using RBF and SOM Networks

The intrusion detection systems are classified as Network based or Host based attacks. The network based attack may be either misuse or anomaly based attacks. The network based attacks are detected from the interconnection of computer systems. The system is able to communicate with each other, so that the attack is sent from one computer system to another computer system by the way of routers and switches. The host based attacks are detected only from a single computer system and is easy to prevent the attacks. These attacks mainly occur from some external devices which are connected. The external devices are pen drive, CD, VCD, Floppy and etc. The web based attacks are possible when systems are connected over the internet and the attacks can be spread into different systems through the email, chatting, downloading the materials and etc. Nowadays many computer systems are affected from web based dangerous attacks. This paper review the various available intrusion-detection system. KeywordsIntrusion detection, Neural networks, FFNN, PNN, RBNN,KDD Cup, MATLAB