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Clustering Top-10 malware/bots based on download behavior
Author(s)
Yukonhiatou, Chaxiong
Kikuchi, Hiroaki
Sisaat, Khamphao
Terada, Masato
Ishii, Hiroshi
Date Issued
January 1, 2013
Type
Conference Paper
Abstract
Malware can be spread over the Internet via especially download mechanism to the victim computers. This work tries to cluster malware/bots download behavior of Top-10 malware based on 2010 and 2011 CCC (Cyber Clean Center) datasets. The datasets contain more than one million download logs collected from several independent honeypots in Japan to observe malware/bot traffic and activities. Although the daily and hourly patterns are quite similar in 2010, those of 2011 are quite different. As a result, the proposed Integral Correlation Coefficient can cluster 3 and 4 groups of Top-10 malware/bots in 2010 and 2011, respectively. © 2013 IEEE.
Citation
Proceedings 2013 International Conference on Information Technology and Electrical Engineering Intelligent and Green Technologies for Sustainable Development Icitee 2013, 62-67, 2013