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Botnet Domain Name Detection based on Machine Learning

机译:基于机器学习的僵尸网络域名检测

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Domain Name System (DNS) is a fundamental component of today's Internet: it provides mappings between domain names used by people and the corresponding IP addresses required by network protocols. However, the open and fundamental characteristics of DNS are recently used by the botnet for the communication between bots and C&C. In this paper, we select six kinds of special features of botnet domain querying traffic based on the deep studies of the DNS log. Then three popular classifiers are adopted in order to pick the malicious domains out from the DNS traffic using those features.
机译:域名系统(DNS)是当今Internet的基本组件:它在人员使用的域名和网络协议所需的相应IP地址之间提供映射。然而,僵尸网络最近使用DNS的开放和基本特征用于机器人和C&C之间的通信。在本文中,我们根据DNS日志的深度研究选择僵尸网络域查询流量的六种特殊功能。然后采用三种流行的分类器,以便使用这些功能从DNS流量中选择恶意域。

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