Abstract
Techniques from data science are increasingly being applied by researchers to security challenges. However, requirements unique to the security domain necessitate painstaking care for the models to be valid and robust. In this paper, we outline a novel security analytics course, its modular design, some of its key innovations, and experience in teaching it.
Cite
CITATION STYLE
APA
Verma, R. M. (2020). Poster: A modular and innovative security analytics course. In SIGCSE 2020 - Proceedings of the 51st ACM Technical Symposium on Computer Science Education (p. 1352). https://doi.org/10.1145/3328778.3372649
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