Method for malicious network traffic categorisation

Abstract

This paper aims to provide a solution for malicious network traffic detection and categorisation. In this paper we propose a semi-supervised GAN to train a discriminator model to categorise malicious traffic, as well as identify malicious and non-malicious traffic. The main goal is to achieve accurate categorisation of malicious traffic with few labelled examples.