Intrusion Detection System Using Self Organizing Map

The goal of the article is to presents intrusion detections systems and design architecture of intrusion detection based on neural network self organizing map. In the report is described base problematic of neural network and intrusion detection system. The article further deals with specific design of intrusion detection architecture based on user anomaly behavior. A core of the designed architecture represents neural network SOM, which classifies monitored user behavior and determines possible intrusion of monitored computer system. Result of the designed architecture is simulations in real conditions. Acquired results of simulation assign expediencies of using neural network SOM in the intrusion detection systems.