Anomaly Detection of the CoreDNS Server through Machine Learning

This project aims to try and detect anomalies that occur in a CoreDNS server using a machine learning model developed in Keras. This project would help automate the process of anomaly detection, and reduce the necessity to write anomaly detection 'rules'.