A model for preventing malicious traffic in DNS servers using machine learning
Gulomov Sherzod RajaboevichTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Providing Information Security department,Tashkent,UzbekistanNasrullaev Nurbek BaxtiyorovichNurafshan branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi,Tashkent,UzbekistanToshev Sanjar KomilovichTashkent University of Information Technologies named after Muhammad al-Khwarizmi,Providing Information Security department,Tashkent,Uzbekistan
2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en
ABI
Аннотация
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.
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