Measuring the effectiveness of infrastructure-level detection of large-scale botnets

Y. Zeng, Guanhua Yan, S. Eidenbenz, K. Shin
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引用次数: 5

Abstract

Botnets are one of the most serious security threats to the Internet and its end users. In recent years, utilizing P2P as a Command and Control (C&C) protocol has become popular due to its decentralized nature that can help hide the botmaster's identity. Most bot detection approaches targeting P2P botnets either rely on behavior monitoring or traffic flow and packet analysis, requiring fine-grained information collected locally. This requirement limits the scale of detection. In this paper, we consider detection of P2P botnets at a high-level — the infrastructure level — by exploiting their structural properties from a graph analysis perspective. Using three different P2P overlay structures, we measure the effectiveness of detecting each structure at various locations (the Autonomous System (AS), the Point of Presence (PoP), and the router rendezvous) in the Internet infrastructure.
测量大规模僵尸网络的基础设施级检测的有效性
僵尸网络是对互联网及其最终用户最严重的安全威胁之一。近年来,利用P2P作为命令和控制(C&C)协议已经变得流行,因为它的分散性可以帮助隐藏botmaster的身份。大多数针对P2P僵尸网络的僵尸检测方法要么依赖于行为监控,要么依赖于流量和数据包分析,这需要在本地收集细粒度的信息。这一要求限制了检测的规模。在本文中,我们考虑检测P2P僵尸网络在高层次-基础设施水平-利用他们的结构属性,从图分析的角度。使用三种不同的P2P覆盖结构,我们测量了在互联网基础设施中不同位置(自治系统(AS)、存在点(PoP)和路由器会合点)检测每个结构的有效性。
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