实时DNS流量分析增强的国家级网络检测设计

Muhammad Salahuddien Manggalanny, K. Ramli
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引用次数: 3

摘要

最近的一项研究表明,通过恶意DNS流量分析可以有效地调查高级持续威胁(APT)活动。但是,大多数实验都是在有限的模拟环境中进行的,例如小型校园网。由于APT是非常动态的,并且要处理流量的增长,因此需要一个轻量级的计算架构来近乎实时地分析可疑活动。在本研究中,我们提出了一种针对高速、大规模、国家级、近实时网络的恶意DNS流量检测的增强设计。本实验结合了现有的开源解决方案工具,以获得实时性、更高的异常识别精度和更快的检测速度。
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Real time DNS traffic profiling enhanced detection design for national level network
A recent study shows, an investigation of Advanced Persistent Threat (APT) activity can be done effectively through malicious DNS traffic analysis. But, most of the experiments are conducted in a limited, simulated environment e.g. small campus network. Since APT is very dynamic and to address traffic grows, a light weight computation architecture is then needed to profile suspected activity in near real time. In this study, we proposed an enhanced design to detect malicious DNS traffic for high speed, large scale, national level, near real time network. This experiment combines available open source solution tools in order to gain real time, better accuracy of anomaly recognition and faster detection.
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