Classification of Computer Network Users with Convolutional Neural Networks
Jakub Nowak, Marcin Korytkowski, Rafał Scherer · Annals of Computer Science and Information Systems · 2018
Automatic detection of abnormal behaviour of computer network users is a desirable and hard to achieve feature.We show that convolutional neural networks can classify users in local computer networks based on features of web pages which were requested by a user (e.g.URL address, URL category, the day of week or time when the web page was visited).We demonstrate our approach on data collected from a firewall over an eight-month period.This network traffic meta-data allowed to achieve satisfactory classification accuracy on unseen, future network traffic data.