Abstract

Nowadays all companies and corporations have their own external and internal servers with information that require specialized software for their support and configuration. Sometimes when data is exchanged with other external or internal sources for unwanted reasons data traffic may be different than expected. In this case, artificial neural networks may be used to monitor the traction. Thanks to their ability to learn the artificial neural networks can detect an anomaly in communication traffic.