Tree Based Classification of Firewall Logs to Dodge Intrusion

With increase in internet users and traffic it has become really essential to analyse the incoming traffic from a network to prevent users from viruses and network attacks and provide a safe and hassle free internet experience. In this research we build a robust model to classify actions to be performed on log files by a firewall to prevent intrusion and other security related threats. Our proposed works use various machine learning models for this work. Our proposed work bested the existing work in the literature when compared over several evaluation metrics. We found the Decision Tree model to be the best performing with an error rate of 0.00245.