Title :
DNS-based anti-evasion technique for botnets detection
Author :
Sergii Lysenko;Oksana Pomorova;Oleg Savenko;Andrii Kryshchuk;Kira Bobrovnikova
Author_Institution :
Department of System Programming, Khmelnitsky National University, Instytutska 11, Khmelnitsky, Ukraine
Abstract :
A new DNS-based anti-evasion technique for botnets detection is proposed. It is based on a cluster analysis of the features obtained from the payload of DNS-messages. The method uses a semi-supervised fuzzy c-means clustering. Usage of the developed method makes it possible to detect botnets that use the DNS-based evasion techniques with high efficiency.
Keywords :
"Feature extraction","Servers","IP networks","Entropy","Payloads","Buildings","Internet"
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015 IEEE 8th International Conference on
Print_ISBN :
978-1-4673-8359-2
DOI :
10.1109/IDAACS.2015.7340777
