Security Analytics: Adapting Data Science for Security Challenges

Rakesh M. Verma
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引用次数: 16

Abstract

We review the unique needs of the security domain that necessitate adaptation rather than straightforward application of data science techniques to cyber security. Subsequently, we highlight key data science approaches and best practices, which we believe are more appropriate for the security domain. Unfortunately, the uptake of these approaches and practices has not been satisfactory so far. Hence, we present our reasons and then invite more discussion on why these "seemingly better ideas" are not yet so popular as the basic ideas and techniques. We then discuss our experiences with a course on security analytics that we have been teaching for over three years now.
安全分析:使数据科学适应安全挑战
我们回顾了安全领域的独特需求,这些需求需要适应而不是直接将数据科学技术应用于网络安全。随后,我们重点介绍了我们认为更适合安全领域的关键数据科学方法和最佳实践。不幸的是,到目前为止,这些方法和实践的采用并不令人满意。因此,我们提出了我们的理由,然后邀请更多的讨论,为什么这些“看似更好的想法”还没有像基本的想法和技术那样流行。然后我们讨论我们在安全分析课程上的经验,这门课程我们已经教了三年多了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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