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Navigating and visualizing the malware intelligence space

机译:浏览和可视化恶意软件情报空间

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摘要

There is now a shift from traditional Cyber Security to Cyber Intelligence. We are only beginning to leverage the intelligence that can be extracted from the thousands of malware samples that are currently being gathered on a daily basis. By automatically creating analysis reports for each of these malware samples, it is possible to improve our understanding of the current cyber security situation on the Internet and of how malware evolves over time. However, research is still required in order to extract, summarize, and present this information to leverage its full potential. In this article, we present two approaches to navigate and visualize what we call the Malware Intelligence Space (i.e., the documentation of millions of malware samples). The first approach, called BeAVER, was built to navigate the Malware Intelligence Space. The second approach, called Malware Threat Radar, was designed to visualize relationships between malware samples and their evolution over time. We also present the technological detail of our implementation prototypes.
机译:现在已经从传统的网络安全向网络智能转变。我们才刚刚开始利用可以从当前每天收集的数千个恶意软件样本中提取的情报。通过为这些恶意软件样本中的每一个自动创建分析报告,可以增进我们对Internet上当前网络安全状况以及恶意软件随时间演变的了解。但是,仍需要进行研究以提取,总结和呈现此信息,以充分利用其潜力。在本文中,我们提供了两种方法来浏览和可视化所谓的恶意软件情报空间(即数百万个恶意软件样本的文档)。第一种方法称为BeAVER,旨在导航恶意软件情报空间。第二种方法称为恶意软件威胁雷达,旨在可视化恶意软件样本及其随时间演变之间的关系。我们还介绍了实现原型的技术细节。

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