Forming indicators vectors for neural networks training to detect attacks on web applications

An approach for choosing the most suitable indicators to detect various types of attacks on web applications is described. A method for forming vectors of indicators for classes of attacks is proposed. The method reduces the amount of required neural networks and accelerates the process of attack detection.