Temporal behaviors of Top-10 malware download in 2010–2012

Chaxiong Yukonhiatou, S. Kittitornkun, Hiroaki Kikuchi, Khamphao Sisaat, M. Terada, H. Ishii
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引用次数: 4

Abstract

Malware can be widely downloaded over the Internet by the bot-infected computers according to their botmaster in order to form a botnet and eventually to perform cyber attacks. This paper analyzes and summarizes the malware download behaviors of Top-10 malware based on 2010 CCC, 2011 CCC and 2012 IIJ MITF datasets. The datasets contain millions of download logs collected from several Honeypots located in Japan observing malware/bot traffic and activities. These log data have been processed and analyzed in terms of daily and hourly downloads based on our Top-10 processing algorithm. As a result, both daily and hourly download patterns in each year are quite different due to different malware families and spreading protocols.
2010-2012年十大恶意软件下载时间行为分析
恶意软件可以被感染的计算机根据它们的僵尸管理员在互联网上广泛下载,以形成僵尸网络,最终进行网络攻击。本文基于2010年CCC、2011年CCC和2012年IIJ MITF数据集,分析总结了top 10恶意软件的恶意软件下载行为。这些数据集包含了从位于日本的几个蜜罐收集的数百万下载日志,这些日志观察了恶意软件/机器人的流量和活动。根据Top-10处理算法,对这些日志数据进行了每日和每小时下载量的处理和分析。因此,由于不同的恶意软件家族和传播协议,每年每天和每小时的下载模式都有很大的不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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