A model for preventing malicious traffic in DNS servers using machine learning
Gulomov Sherzod Rajaboevich, Nurbek Nasrullayev, Toshev Sanjar Komilovich · 2021 International Conference on Information Science and Communications Technologies (ICISCT) · 2021
This paper describes how to attack DNS servers and a system architecture for the real-time packet classification process to recognize the occurrence of DNS server tunneling is offered. As well as, a packet classification model to allow attacks based on machine learning is proposed.