作者: Alexander Moshchuk , Steven D. Gribble , Arvind Krishnamurthy , John P. John
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摘要: In this paper we present Botlab, a platform that continually monitors and analyzes the behavior of spam-oriented botnets. Botlab gathers multiple real-time streams information about botnets taken from distinct perspectives. By combining analyzing these streams, can produce accurate, timely, comprehensive data spam botnet behavior. Our prototype system integrates arriving at University Washington, outgoing generated by captive nodes, gleaned DNS URLs found within messages. We describe design implementation including challenges had to overcome, such as preventing nodes causing harm or thwarting virtual machine detection. Next, results detailed measurement study most active We find six are responsible for 79% messages UW campus. Finally, defensive tools take advantage improve filtering protect users harmful web sites advertised botnet-generated spam.