Using of artificial neural networks on systems of intrusion detection,and investigation of it's achievements

In this study, in order to analysis of attacks to network and information systems that the importance of each passing day increased, examined species of used intrusion detection systems (IDS), in this direction use of Artificial Neural Networks (ANN) have been investigated and a case study has been created. In forming of the STS; KDD'99 (Knowledge Discovery and Data Mining Tools Competition) data set has been used. On this data set, using certain attack files, with ANN comprehensive multi-layer perceptron (MLP) on MATLAB program, a sample IDS has been created. With the developed model, suggestions have been made to the new researchers will work on a similar. In this study; tests made with data sets generated by the trained ANN and KDD'99 and has been observed detect of ANN that unknown attacks. Also in the detection of attacks, ANN detects to abnormal data flow in normally stored the data stream, grades abuse attacks succeeded in successfully.