Method to detect botnet based on network coordination

Zhifei Tian, Dan Liu
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Abstract

A novel method to detect botnet based on network coordination is proposed. This paper constructs a coordinative detection model of botnet, by utilizing hybrid network structure and analyzing information of a large number of detection nodes. First, detect abnormal attack behavior of nodes. Then define the set of nodes with similar behavior and build a coordinative task. At last, detect botnet nodes by the coordinative task. The experiment in LAN indicates that the method can identify similar behavior in network, and then detect botnet nodes. The controllability of this model is good.
基于网络协调的僵尸网络检测方法
提出了一种基于网络协调的僵尸网络检测方法。利用混合网络结构,分析大量检测节点的信息,构建了僵尸网络的协调检测模型。首先,检测节点的异常攻击行为。然后定义具有相似行为的节点集,并构建协调任务。最后,通过协调任务对僵尸网络节点进行检测。局域网实验表明,该方法可以识别网络中的相似行为,进而检测出僵尸网络节点。该模型具有良好的可控性。
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