The early detection of malicious communication with DNS traffic through the use of simple features

Today, in the era of advanced technology, Almost every one is connected with the internet and the number is increasing day by day as the number of Internet products increases. Today, we put our almost data in the hands of technology without thinking about the latest versions of bots which has become a significant issue and does the damage in many ways. The disruption done by botnets, in particular, is highly escalating. Additionally, encrypt communications are used or a non-standard protocol to evade detection. In our paper, we present a method for detecting malicious communication based on machine learning and Domain Name System traffic features. The results are very promising and verifying the proposed approach.