@inproceedings{5644b4546e8f40bbbee1bd9e170acd69,
title = "The early detection of malicious communication with DNS traffic through the use of simple features",
abstract = "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.",
keywords = "Bot, DNS, Machine Learning, Malware Detection",
author = "Anupama Mishra and Gupta, {B. B.} and Hsu, {Ching Hsien} and Chui, {Kwok Tai}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 10th IEEE Global Conference on Consumer Electronics, GCCE 2021 ; Conference date: 12-10-2021 Through 15-10-2021",
year = "2021",
doi = "10.1109/GCCE53005.2021.9621985",
language = "English",
series = "2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021",
pages = "291--293",
booktitle = "2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021",
}