Application of Neural Networks in Computer Security

Abstract

This contribution is focused on the insurance of control system data communication via neural network technologies in connection with classical methods used in expert systems. The solution proposed defines a way of data element identification in transfer networks, solves the transformation of their parameters for neural network input and defines the type and architecture of a suitable neural network. This is supported by experiments with various architecture types and neural network activation functions and followed by subsequent real environment tests. A functional system proposal with possible practical application is the result.