Multi-class classification in cybersecurity domain

The goal of this thesis is to extend existing binary classification for cybersecurity logs (e.g. classify malicious URLs). The task is to train a multi-class classifier that is able to identify the type of attack technique being represented in the classified log (e.g. for URLs whether it is hosting malware of if it is used for credential phishing). The data for this research will be provided by Cisco Systems.