Distributed intrusion detection system using self organizing map

The goal of the article of to present intrusion detections system and design a two layer architecture of distributed intrusion detection based on the neural network self-organizing map. First layer consists of detection sensors which provide basic processing of input data on behalf of statistical methods with a direct connection to countermeasure modules. Performance and accuracy of the modeling system is ensured by using central distributed processing, in which the detection of generalized description with self-organizing map is used, preventing the intrusion itself.