Development Application for Traffic Classification Using the Neural Network Approach

Currently, the number of DDoS attacks on devices connected to the Internet has significantly increased. As a part of a study there was implemented an application that classifies network traffic using the neural network approach. Two neural network topologies were developed using SGD and Adam optimizers. A classification accuracy amounted to 99%.