In this chapter, we present a brief overview of important topics regarding the connection of data science and security. In the first part, we focus on the security of data science and discuss a selection of security aspects that data scientists should consider to make their services and products more secure. In the second part about security for data science, we switch sides and present some applications where data science plays a critical role in pushing the state-of-the-art in securing information systems. This includes a detailed look at the potential and challenges of applying machine learning to the problem of detecting obfuscated JavaScripts.
CITATION STYLE
Tellenbach, B., Rennhard, M., & Schweizer, R. (2019). Security of Data Science and Data Science for Security. In Applied Data Science: Lessons Learned for the Data-Driven Business (pp. 265–288). Springer International Publishing. https://doi.org/10.1007/978-3-030-11821-1_15
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