Security Analytics: Adapting Data Science for Security Challenges

被引:8
|
作者
Verma, Rakesh [1 ]
机构
[1] Univ Houston, Houston, TX 77004 USA
关键词
unique needs of security domain; course; tutorial; nonstationarity;
D O I
10.1145/3180445.3180456
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:40 / 41
页数:2
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