BASED RECOGNITION MODEL FOR CYBER ATTACKS NEURAL NETWORK APPROACHES
The paper is based on the consideration of the model of neural network systems in which it is required to carry out an estimation based on input signals. It is used in cyberspace to recognize attacks on the network resources of information systems. Experimental studies were carried out to verify the theoretical results obtained.